The upcoming Proton eMAS 7 plug-in hybrid (PHEV) has been spotted again in public, signalling that its official debut may be closer than expected. The latest sighting was shared by an anonymous member of the Proton eMas 7 Owners Malaysia Facebook group, who reportedly found the SUV parked in Tanjung Malim , the location of […] The post Multiple Spottings Of Proton eMAS 7 PHEV Hints An Imminent Launch appeared first on Lowyat.NET.  ( 35 min )

PRISM+ has recently introduced a slew of new products, ranging from displays to home appliances. Most relevant being the Roam 27-inch smart displays and the updated SQ Series QLED TVs. The Roam and Roam Ultra displays are built around an ergonomic wheeled stand, letting users roll the display between rooms as needed. The Roam 27-inch […] The post PRISM+ Launches New Roam Smart Displays, SQ QLED TVs appeared first on Lowyat.NET.  ( 35 min )

True to its word, Qualcomm officially pulled back the veil from the Snapdragon 8 Gen5 chipset today. The mobile processor is technically a lesser version of the more powerful Snapdragon 8 Elite Gen5 that was announced near the end of September this year. “Snapdragon 8 Gen5 is an incredibly fast mobile SoC – it features […] The post Qualcomm Officially Announces Snapdragon 8 Gen5 appeared first on Lowyat.NET.  ( 34 min )

The Chinese Ministry of Industry and Information Technology (MIIT) have seemingly decided the future of all powerbanks manufactured in country. Moving forward, it will be mandatory for all powerbanks to have built-in LCD display, or an app that allows officials to check the status and security of the powerbank. According to ITHome (Google Translate required […] The post China To Allow Powerbanks With Displays Or Security-Specific Apps Next Year appeared first on Lowyat.NET.  ( 35 min )

The Garmin Venu 4 got a reveal back in September, along with availability in October. As of today, the smartwatch is now available for purchase from all authorised resellers. As a quick primer, the Venu 4 features a display with sizes ranging from 1.2-inches to 1.4-inches, depending on the face size you choose. Regardless of […] The post You Can Now Get The Garmin Venu 4 For RM2,319 appeared first on Lowyat.NET.  ( 34 min )

Shell Malaysia has integrated the BUDI 95 subsidy into its Shell Application, enhancing the convenience of the process of fuelling up your vehicle. With this integration, customers can now use the application to access the subsidy and do not have to bring out their IC to scan at the terminal or inside at the counter […] The post Shell App Integrates BUDI 95 For Easier Fuel Payments appeared first on Lowyat.NET.  ( 37 min )

Huawei has introduced a new addition to its ecosystem, the MatePad Edge 2-in-1, which debuted alongside the Mate X7 and Mate 80 Series in China. This model is positioned squarely as the company’s answer to Microsoft’s Surface lineup; a variable tablet designed to replace your laptop, with added portability. The MatePad Edge 2-in-1 is built […] The post Huawei Launches MatePad Edge 2-In-1 Tablet In China appeared first on Lowyat.NET.  ( 35 min )

Alongside the new Mate X7 flagship foldable, Huawei has also unveiled its Mate 80 series in China, introducing four models: the Mate 80, Mate 80 Pro, Mate 80 Pro Max, and the Mate 80 RS Ultimate Design. The new lineup brings familiar elements from previous Mate releases, notably the variable aperture cameras, along with numerous […] The post Huawei Mate 80 Series Debuts In China appeared first on Lowyat.NET.  ( 37 min )

Earlier this month, Minister in the Prime Minister’s Department (Law and Institutional Reform) Datuk Seri Azalina Othman Said revealed that the government will establish a new Online Safety Committee. Following the Pro Tem Online Safety Committee meeting, the minister asserted that the creation of this committee will not diminish the authority of the Malaysian Communications […] The post MCMC To Stay Sole Regulator Under Online Safety Act appeared first on Lowyat.NET.  ( 34 min )

Leapmotor’s executive director and senior vice president, Li Cao, has shared new images of the upcoming Lafa 5 (B05) Ultra variant on his official Weibo page. The standard variant is set to debut on November 28, while the Ultra variant is scheduled for launch in the second quarter of 2026. As reported before, the Ultra […] The post Leapmotor Teases Arrival Of New B05 Ultra Variant appeared first on Lowyat.NET.  ( 33 min )

When I first tried installing GNS3 on Fedora, I checked the official GNS3 website — and surprisingly, Fedora wasn’t listed. They only provide installation guides for: Ubuntu-based distros Debian-based distros Arch-based distros But no Fedora 😅 Luckily, GNS3 is actually available on Fedora — directly from its official repositories. Here’s how you can install it and run your very first “Hello, World!” inside GNS3! Even though Fedora isn't listed on the official website, Fedora includes GNS3 in its own package repositories. sudo dnf install gns3-server gns3-gui This gives you: gns3-server → backend gns3-gui → the graphical application When launching GNS3 for the first time, the setup wizard appears. Choose: 👉 Run appliances on my local computer This means the GNS3 server runs on your m…  ( 9 min )

Turbocharge Your LLMs: A Breakthrough in Neural Network Optimization Stuck in slow training cycles? Watch your neural networks grind to a halt, especially with massive language models? Model training can feel like navigating a minefield of instability and frustratingly slow progress. But what if you could sidestep these common pitfalls and unlock significantly faster, more reliable training? The key lies in a new approach to gradient optimization, specifically designed for the complexities of modern neural networks. Imagine a team of rowers – if their strokes are perfectly synchronized (orthogonalized), the boat moves faster and more efficiently. Similarly, by carefully orthogonalizing gradient updates, we can drastically improve convergence speed during training. This novel optimizer em…  ( 7 min )

Hey Dev.To community! 👋 I've just launched a new open-source project that might be of interest to those building CI/CD pipelines or managing internal security tooling: Ephemeral Vulnerability Scanner. This is a 100% client-side application built with vanilla JS/HTML/CSS. You clone it, open index.html, upload your system inventory (inventory.json), and get an instant, privacy-safe vulnerability report. 💡 Why this architecture? It addresses the privacy concern: No sensitive system data leaves your device. It's fast and eliminates backend maintenance overhead. It's transparent: you can literally inspect the app.js source to see the entire logic. Under the Hood: We use platform-specific commands (PowerShell, dpkg, rpm, brew) to generate the initial JSON inventory. The analysis logic hits MSRC CSAF API (Windows), OSV.dev API (Open Source), and CISA KEV for a strict, verified lookup. Results are grouped into clean, actionable "Package Cards" with the minimum safe version calculated automatically. Check out the repo, try the demo, and let me know what you think of the client-side approach for security analysis! 🔗 Live Demo: VulnScan  ( 6 min )

Body: I’ve been building a lot of AI agents lately. The logic is usually fun to write, but I kept hitting the same wall: State Management. LLMs are stateless. As soon as the session ends, the context is gone. Sure, you can pass the chat history, but once that hits the token limit, your agent gets amnesia. The standard solution is "Just use a Vector Database." But setting up a dedicated Pinecone or Weaviate instance, configuring the embedding pipeline (OpenAI/HuggingFace), and writing the chunking logic just to store a few user preferences felt like massive overkill for my side projects. I didn't want to manage infrastructure; I just wanted my agent to remember that my favorite color is blue. So, I spent the last few weeks building a dedicated API to abstract all that boring stuff away. It’…  ( 8 min )

Most engineering teams assume scaling requires adding more: More tools More dashboards More AI More engineers But every experienced engineer eventually learns the truth: Systems don’t slow down because they lack tools. They slow down because of friction. Friction created by scattered data, noisy workflows, redundant SaaS tools, and “manual work disguised as process.” Engineering teams often operate across 15–25 tools. Individually useful. Collectively damaging. Tool sprawl creates: Fragmented data models Multiple “sources of truth” Delays in handoffs Duplicated workflows Hidden manual steps everywhere When each tool stores a different slice of truth, your architecture becomes diffuse, not distributed. 10x companies don’t scale by adding more layers. They scale by reducing …  ( 7 min )

GM! Just shipped a production-ready Web3 Wallet Connector with TypeScript & React ⚛️. Deployed on Vercel, source and README on GitHub. Devs, hope this makes your Web3 projects easier? Live Demo  ( 6 min )

The Information Technology (IT) industry has always been at the forefront of innovation, driving advancements that change the way we live and work. From the early days of mainframes to the modern cloud-based ecosystems, IT continues to evolve at a breakneck pace. One of the most revolutionary forces shaping IT today is Artificial Intelligence (AI). AI in Everyday Technology Artificial Intelligence is no longer a futuristic concept—it’s already part of our daily lives. From smart assistants like Alexa and Siri to recommendation engines on Netflix and Amazon, AI is making technology smarter, faster, and more intuitive. In IT, AI is being leveraged for: Cybersecurity: AI algorithms can detect anomalies in network traffic, identify potential threats, and respond to breaches faster than human t…  ( 7 min )

JavaScript, by its nature, is a single-threaded language. This means it traditionally executes one operation at a time on the browser's "main thread." This main thread is responsible for everything a user sees and interacts with: rendering the UI, handling user input, running animations, and executing all your application's JavaScript. While this single-threaded model simplifies development in many ways, it presents a significant challenge: what happens when your JavaScript needs to perform a heavy, CPU-intensive task? The answer, historically, was a frozen UI, unresponsive buttons, and a frustrating user experience. Enter Web Workers. Web Workers provide a way to run JavaScript scripts in background threads, separate from the main execution thread of a web page. By offloading CPU-intensiv…  ( 12 min )

Welcome to Day 46 of the #80DaysOfChallenges journey! This intermediate challenge implements a Simple Moving Average (SMA) calculator using an efficient sliding window approach that maintains a running sum, achieving O(n) time complexity while avoiding redundant calculations. It handles user-provided data series and window size, returning a list of averages with proper validation, making it a practical tool for time-series smoothing, financial indicators, or signal processing. If you're advancing from basic loops to performance-aware algorithms or dealing with sequential data, this "Python moving average" script demonstrates a function that's optimized, easy to understand, and ready for extensions like exponential or weighted averages. This task features a function that initializes the fir…  ( 12 min )

Most companies still treat privacy as a policy problem. That difference — between writing rules and enforcing them — is what separates organizations that talk about responsible data use from those that actually achieve it. The Weekly Translation Failure Every week, legal, product, and engineering teams sit down to align on privacy and responsible data use. And every week, they run into the same challenge: It’s not a communication problem. A privacy policy that reads cleanly in a spec document becomes a maze of implementation questions the moment it meets code: Policy teams speak in rights, obligations, and business rules. The result? The Missing Layer: A Shared Operational Foundation What’s missing isn’t collaboration — it’s a common operational foundation. This is why privacy must be treated as a systems problem. That’s the core principle behind emerging privacy infrastructure — where legal definitions, business policies, and data models converge into a single executable framework. When obligations are expressed as code, they become: When Policy Lives in Infrastructure When privacy is embedded directly in infrastructure, the dynamic between teams changes entirely: That’s not just better governance — it’s a better growth model. Instead of being boxed in by complexity, teams gain the freedom to innovate safely with sensitive data — whether it’s for AI, analytics, personalization, or compliance. Privacy as a Competitive Advantage Enterprises that get this right stop playing defense with privacy. Because when privacy becomes part of your stack, not just your policy binder, you don’t just comply. You scale responsibly. You innovate with confidence. And you turn privacy from a blocker into a feature of your growth model.  ( 7 min )

Pay-Per-Click (PPC) advertising has become one of the most effective and widely used online marketing models for businesses of all sizes. Whether you are a small brand looking to attract local customers or a large company aiming to scale globally, PPC gives you immediate visibility, measurable results, and complete control over your advertising spend. To use PPC effectively, you must understand how it works, what factors influence performance, and how to optimize your campaigns for better results. This guide breaks down the basics of PPC advertising in a clear and practical way. What Is PPC Advertising? PPC stands for Pay-Per-Click, a digital advertising model where advertisers pay only when someone clicks on their ad. Instead of paying for impressions or visibility, you pay for real eng…  ( 9 min )

Overview While implementing full-text search functionality, we discovered an SQL injection vulnerability and fixed it by migrating to Prisma's parameterized queries. This article explains the dangers of $queryRawUnsafe, best practices for secure query implementation, and improvements to error handling. Prisma ORM (v5.x) TypeScript (v5.x) PostgreSQL (v14+) Node.js (v20 LTS) Security tools: OWASP ZAP, Snyk In the initial implementation of full-text search functionality, we were using $queryRawUnsafe: // Red flag: Vulnerable code (before) export async function findManyWithFullTextSearch(params: { keywords: string[]; // ... }) { const searchQuery = keywords.join(' & '); // User input is embedded directly in the query! const results = await prisma.$queryRawUnsafe(` SELECT e.* …  ( 14 min )

In the React ecosystem, we’ve spent years debating which state management library to use — Redux, MobX, Recoil, Zustand, Jotai, XState, and the ever-humble React Context. But the real architectural question we often forget is far more fundamental: Where should state live? How far should it travel? And how do we prevent state from becoming a silent source of UI slowdown? Let's discuss in depth on an unglamorous yet powerful topic that every UI architect should obsess about: State Boundaries — The Most Important Concept in Scalable React Apps State boundaries define how far a piece of state is allowed to influence the UI. If your components re-render “too much,” lag under load, or behave unpredictably, the root cause 90% of the time is: Your state boundaries are broken. Let’s understand th…  ( 9 min )

🚀 TECHNICAL DOCUMENT: Cypress Prompt – Natural Language Test Automation (2025) 1. OBJECTIVE This document explains: What Cypress Prompt is and how NLP-based test automation works. How Cypress converts natural language → test execution. How to integrate it into our TypeScript + POM + SOLID Cypress framework. A complete example using your code. Comparison with Microsoft Playwright MCP Agent. What is Cypress Prompt? Cypress Prompt is a new feature (2024–2025) that allows engineers to write Cypress tests in natural language, for example: cy.prompt([ "visit https://todomvc.com/examples/react/dist/", 'type "Daily Report" into the new todo field', 'type {enter} into the new todo field', 'verify "Daily Report" todo is created successfully', ]) Cypress will: Parse the na…  ( 8 min )

If you are diving into Solana development, you have probably heard terms like "Ed25519" and "Proof of History" almost always. But what do they actually mean? How do they work? Let us break down the cryptography that makes Solana one of the fastest blockchain networks available. Think of cryptography as the art of securing communication in hostile environments. In the blockchain world, it is what allows you to prove you own an account, sign transactions, and trust that data hasn't been tampered with, all without needing a central authority to verify everything. At its core, cryptography uses mathematical functions that are easy to compute in one direction but nearly impossible to reverse. It is like mixing paint colors: easy to mix blue and yellow to get green, but try separating that green…  ( 8 min )

Here View the Project on GitHub#EdTech #AI #Gemini #Streamlit #Productivity #Students #Learning #StudyTool #Coding #Development #GenAI  ( 8 min )

Headless CMS has become a cornerstone of modern web architecture. Whether it's a marketing site, SaaS documentation, or the content layer for an AI app, a flexible CMS is indispensable. But with so many choices, developers often ask: Which CMS should I pick? This guide covers six popular Headless CMS — Contentful, Strapi, Sanity, Ghost (API mode), Payload, Wix (Headless Mode) — with: Best‑fit scenarios Pros & cons Reference starter templates Best for Enterprise‑level content management (multi‑team, multilingual, multi‑environment) Marketing websites, product documentation Multi‑channel content distribution (Web / App / IoT) Pros Reliable SaaS with strong uptime SLAs Rich SDKs and GraphQL support Flexible content modeling, multilingual support Powerful roles and workflow managem…  ( 7 min )

What is a CDN? A Content Delivery Network (CDN) is a strategically distributed system of servers designed to deliver internet content with maximum speed and efficiency to users worldwide. According to recent industry data, over 80% of global web traffic now flows through CDN infrastructure, making it an essential component of modern digital infrastructure. When a user accesses a website, the CDN intelligently delivers content from the server geographically closest to that user—known as an "edge server" or "Point of Presence" (PoP)—rather than routing all requests to a single origin server. This distributed architecture fundamentally transforms how content reaches end users, reducing latency by up to 50 milliseconds for 95% of internet users globally. 1. User Request Initiation When a use…  ( 15 min )

You need a 6-digit code to sign in, but don’t have an authenticator app on this device—whether it’s a new laptop, a work computer, or a quick test. That’s where 2FA2FA comes in. 2FA2FA Live Auth is a free, browser-based Time-based One-Time Password (TOTP) generator. Paste a Base32 (binary-to-text encoding scheme) secret or import it from a QR code image, and your time-based codes appear instantly—no account, no install, and nothing stored. The math runs locally in your browser and disappears when you close the page. If you later want encrypted storage and bulk code management, there’s a separate Manager, but Live Auth keeps first use as simple as it gets. Try it here. Password-only security fails in very predictable ways—reused credentials, phishing, password spraying, and credential stu…  ( 11 min )

Recently, I released the code-review gamification project “Code Review Game.” This time, I created another game called “Bug Sniper,” where the goal is to find bugs hidden in code. https://bug-sniper.goofmint.workers.dev/ Code Review Game was originally designed for conference booths so that attendees could give it a try. However, it ended up becoming something that required fairly serious review skills. While this was useful from a learning perspective, it required a PC and wasn’t something you could casually enjoy. With that in mind, I created Bug Sniper as a more lightweight, pick-up-and-play experience. Bug Sniper is a game where you keep finding bugs in code for 60 seconds straight. Each problem contains around one or two bugs. For example, consider the following code: function get…  ( 7 min )

Observables This article aims to explain how observables help or fit in into the use case of sharing data among views. Before that, we need some context. When we want to share data among views, we usually use classes instead of structs. The main reason is that whenever we use structs, each view will have its own copy of said struct, so it does not really fit the use case if you would like to share data among views. To be able to share data among views, you need to use classes. import Combine class Counter: ObservableObject { @Published var count = 0 } The above code contains a class called Counter and it inherits ObservableObject. SwiftUI makes use of the subscriber-publisher model. In this case, the Counter class publishes the count variable. struct ContentView: View { @State…  ( 7 min )

Arrays in JavaScript are like tiny storage shelves where each item has a number tag (index). They let us store multiple values together and work with them easily. What Are Arrays? An array is a collection of elements. Arrays are represented using square brackets [], like this: let arr = [4, 8, 7, -1, 0, 4, 9]; Indexing in Arrays So for an array of n elements, the valid index range is: Examples: console.log(arr[2]); // 7 console.log(arr[25]); // undefined Array Length console.log(arr.length); // 7 Arrays Are Mutable 1️⃣ push() let arr = [1, 2, 3]; arr.push(4, 5); console.log(arr); // [1, 2, 3, 4, 5] 2️⃣ pop() let arr = [1, 2, 3, 4, 5]; arr.pop(); console.log(arr); // [1, 2, 3, 4] 3️⃣ unshift() let arr = [1, 2, 3]; arr.unshift(4, 5); console.log(arr); // [4, 5, 1, 2, 3] 4️⃣ shift() let arr = [1, 2, 3]; arr.shift(); console.log(arr); // [2, 3] 5️⃣ splice() A powerful method used to add, remove, or replace elements. Examples: let arr = [5, 6, 7, 8, 9, 10, 11, 12]; arr.splice(3); // delete all from index 3 arr.splice(3, 1); // delete only element at index 3 arr.splice(3, 2, "raj", "shekhar", "john"); // replace 2 items Given: let friends = ["sheldon", "rachel", "ross", "chandler", "monica", "penny"]; 1️⃣ Remove "sheldon" and add "pheobe" friends.shift(); friends.unshift("pheobe"); 2️⃣ Remove "penny" and add "joey" friends.pop(); friends.push("joey"); 3️⃣ Add "emma" between "rachel" and "ross" friends.splice(2, 0, "emma");  ( 7 min )

Everything Wrong With The Wiz In 15 Minutes Or Less Cinemasins dives into the 1978 musical fantasy to tally up every plot hole, awkward production choice, and head-scratching moment as Dorothy skips down the yellow brick road. With Wicked back in theaters, they revisit The Wiz through a modern, unapologetically snarky lens—asking if it’s actually better than you remember. Along the way, they plug their main site for more “sins,” invite you to fill out a quick poll, and suggest supporting their tiny team on Patreon. You’ll also find a shout-out to their writers (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, Daniel) plus links to Discord, Reddit, Instagram, TikTok, and more ways to keep up with CinemaSins. Watch on YouTube  ( 6 min )

Developing financial technology (fintech) products is a complex endeavor. It combines the fast-paced innovation of tech with the stringent demands of finance: security, compliance, and absolute reliability. Many projects, even with brilliant ideas and talented teams, stumble due to common pitfalls that are often underestimated. Understanding these challenges upfront can significantly increase a project's chances of success. This article explores some of the most frequent pitfalls in developing fintech products, offering insights for product managers, developers, and stakeholders. Fintech operates in one of the most regulated environments globally. This is arguably the biggest differentiator from general tech development. Common mistakes include: Ignoring compliance from day one. Treating r…  ( 9 min )

This C# File I/O Quick Reference Guide explores the core classes for handling files and directories. FileInfoand DirectoryInfofor object-oriented access and metadata). The guide also covers Stream classes (StreamReader, StreamWriter, FileStream, etc.) for efficient data handling, along with utilities for path manipulation (Path) and monitoring (FileSystemWatcher). What it is: Static utility class for quick file operations without creating objects. Use: Best for simple, one-time file operations. ReadAllText(path) - Read entire file as string WriteAllText(path, content) - Write string to file (overwrites) AppendAllText(path, content) - Add text to end of file ReadAllLines(path) - Read file as string array (line by line) WriteAllLines(path, lines) - Write array of strings as lines ReadAllB…  ( 12 min )

Cross-Compiling Go Applications: A Comprehensive Guide Introduction Go, or Golang, is renowned for its efficiency, simplicity, and built-in support for concurrency. However, one of its most powerful features, often overlooked, is its seamless support for cross-compilation. Cross-compilation is the process of compiling code on one platform (the build platform) to create executables that run on a different platform (the target platform). This feature is invaluable for developers targeting a wide range of architectures and operating systems, especially in environments like embedded systems, mobile development, and cloud infrastructure. This article delves deep into the world of cross-compiling Go applications, covering prerequisites, advantages, disadvantages, features, and providing practi…  ( 9 min )

"Security bolted on after development is a band-aid. Security designed in from day one is the foundation." What if I told you that 92% of data breaches could be prevented by embedding security into the earliest design phases, not patching it after deployment? That's the core philosophy behind CuraNexus Analytics, a healthcare and retail data analytics platform I architected from scratch during my Secure by Design (SBD403) subject at Torrens University Australia, under the guidance of Dr. Tanvir Rahman. This was more than an university project, I approached it as a comprehensive security framework that any organization can adapt when building web-based data retrieval applications. Healthcare and retail organizations face a critical challenge: they need to analyze sensitive data across distr…  ( 11 min )

Getting Inside a Running Container When your container is already running, you can access its shell using: docker exec -it bash If the container doesn't have Bash installed, try: docker exec -it sh This lets you debug, inspect logs, check files, or test configurations from inside the container. When Your Container Isn’t Running (or Exits Immediately) When a container won’t start, docker exec won’t work. docker run -it --entrypoint=/bin/bash This forces the container to start with a shell, even if its actual entrypoint fails. Tip: Useful Docker Compose Commands Stop services and remove containers + volumes docker compose -f down -v The -v flag removes volumes as well. Start services in detached (background) mode docker compose -f up -d The -d option keeps everything running in the background so you can continue working.  ( 6 min )

Gartner estimates that over 80% of data teams spend more time finding data than analyzing it, largely due to missing lineage, unclear ownership, and manual documentation. As organizations scale their data ecosystems, a robust automated data lineage solution becomes essential—not just for governance, but for analytics accuracy, regulatory compliance, and operational efficiency. Data lineage is no longer a “nice to have.” In modern enterprises with cloud warehouses, diverse data tools, and complex pipelines, manual lineage quickly becomes outdated and unreliable. Automation bridges this gap by continuously tracing data flows across systems, helping teams understand where data comes from, how it transforms, and where it goes. This guide explains what an automated data lineage solution does,…  ( 9 min )

This week I hate the specific point in my course the point self learning. So I am exploring React and creating own self project which is my portfolio whose structure is almost complete which includes my hero section, about section and my project section and some section structure is left. InshaAllah by the end of this week that too will be complete and next week we will add state management to it and deploy it. InshaAllah and we will continue our course again.  ( 6 min )

If you’re interested in bleeding-edge AI art, creative pipelines, or building tools that generate images programmatically — you should check out FLUX.2-dev. It’s an ambitious and powerful open-weight model by Black Forest Labs that combines image generation and editing — with a focus on consistency, high resolution, and versatility. 🎨 What Is FLUX.2-dev? 32-billion parameter rectified-flow Transformer: FLUX.2-dev uses a latent-space flow-matching architecture (rather than a typical diffusion-based U-Net), offering a fresh approach to text-to-image and image-to-image generation. Unified generation + editing: You can both generate new images from text prompts and edit existing images — or blend multiple references for consistent style, characters or branding. Support for multi-reference …  ( 9 min )

Videos for this topic can be viewed on my Youtube channel Everything here is available on Github i'd love a star ;) Terminology used: origin: the default name git gives to the remote repository you cloned from (origin = https://github.com/...) tracked: when git add is used staged: when git commit is used linear: meaning commits follow a linear pattern like A -- B -- C -- D non-linear: meaning commits don't follow a linear order A -- B -- C \ D -- E \ M (merge commit) When applied, this commit with ___. Try and explain everything you do in this format, if its clear and makes the commit! Command: git init Parameters: --initial-branch: sets the initial branch in a newly created repository Description: Creates an empty git repository - bas…  ( 18 min )

Next.js 16 introduces a new file-convention: proxy.js / proxy.ts (often “Proxy”) which supersedes the older middleware.js. This feature allows you to intercept HTTP requests early (before routing/rendering) and run custom logic—redirects, rewrites, header manipulation, or forwarding (proxying) to another service. In e-commerce (or any frontend/back-end scenario) this gives you a powerful tool: you can make your Next.js app act as a Backend-for-Frontend (BFF) layer, hiding upstream APIs, consolidating micro-services, enforcing auth, caching, rewriting URLs, etc. This aligns well with many of the architectures discussed in your referenced articles about Next.js for commerce (SSG/ISR/SSR strategies etc). The Proxy file (proxy.js/.ts) in Next.js is a special server-side file (located in the pr…  ( 9 min )

If you’ve ever played a game on your PC or console, you’re familiar with benchmarking. Think of benchmark testing as running a performance check, not just to see if your app works, but how well it performs compared to a defined standard or previous version. Think of benchmark testing as running a performance check, not just to see if your app works, but how well it performs compared to a defined standard or previous version. Of course, this only scratches the surface of what benchmark testing actually involves, so let’s start at the very beginning. In software and system development, what often separates a good product from a great product is how well it performs. Benchmark testing gives you an objective yardstick to answer questions like: How does my app’s startup time compare to the indu…  ( 11 min )

Industrial fabrication depends heavily on accurate, well-defined BIM models. Whether you’re planning equipment installation, prefabrication, or site coordination, selecting the right Level of Detail (LOD) in BIM determines the accuracy, cost, and constructability of your project. Two of the most commonly compared LODs are LOD 400 and LOD 500. While they may seem similar, they serve completely different purposes—one for fabrication and installation, the other for facility management and lifecycle operations. This guide breaks down the differences, use cases, and best practices to help fabrication teams, contractors, and facility managers choose the right LOD for their needs. The Level of Detail (LOD) defines how much graphical and non-graphical information a BIM element contains. The common…  ( 8 min )

I. The Ambient Revolution I keep seeing the same moment at work. You’re on a call, someone’s sharing their screen, you toss out a weird angle on the problem. Not wrong, just slightly sideways. They pause, open a new tab, and quietly type your thought—loosely translated—into an AI chat window. They’re not announcing it. They’re not making a point. They’re just… checking. They scan the answer, nod almost imperceptibly, and fold the result back into the conversation. No one reacts. No one debates whether this is allowed. The tool is background, like a calculator or a search bar. The revolution came quietly and nobody objected because it was useful. The silence here isn’t fear. It isn’t uncertainty. It’s acceptance—the kind of acceptance that happens when something crosses the line from “c…  ( 11 min )

I don’t code. But I spend my days around people who do — the late-night builders, the tab-vs-space philosophers, the “I’ll fix it in 5 minutes” liars (we all know it’s never 5 minutes :P). And being surrounded by them taught me something no self-help book ever has: Software updates constantly. And that… makes no sense. 💻 In tech, upgrades are NORMAL. Expected. Celebrated. If a framework updates every 3 weeks? If a library is deprecated? If you say “we’re rewriting everything”? If code breaks? But in life? If you say: scary emotional dramatic intimidating “what if people don’t like the new me?” Imagine running your personal life the way tech people run their codebases: iterate fast admit flaws patch weaknesses push updates remove what no longer works improve what does stop supporting old v…  ( 8 min )

Below is a concise, code‑verified summary of GraphBit’s memory efficiency techniques, with short excerpts and file paths. 1) Memory‑optimized executor profile Purpose: run in constrained environments with reduced footprint by lowering concurrency and disabling extras. Rust executor profile: /// Create a workflow executor optimized for memory usage pub fn new_memory_optimized() -> Self { let concurrency_config = ConcurrencyConfig::memory_optimized(); let concurrency_manager = Arc::new(ConcurrencyManager::new(concurrency_config)); Self { /* smaller pre-allocs, conservative settings */ } } Python binding (lower concurrency, disable metrics): fn new_memory_optimized(..) -> PyResult { let mut config = ExecutionConfig { `mode: ExecutionMode::MemoryOptimized,` `max_concurrency: S…  ( 7 min )

As developers, when we talk about “digitization,” we usually think of startups, enterprise systems, or e-commerce. But temples face the same kind of operational challenges that businesses do—sometimes even more complex because they serve large crowds in a very short time. This post explores, from a technical viewpoint, why Indian temples benefit from digital solutions and what kind of systems can help them run more smoothly. *1. Cashless Donations Are Now the New Normal The shift toward digital payments in India is massive. UPI is everywhere—from large stores to roadside tea stalls. Devotees visiting temples often prefer digital payments simply because: They may not carry cash They want instant receipts They want transparency From a tech perspective, this means temples can adopt: QR-based…  ( 8 min )

Speed matters — especially when you're designing in Figma. Whether you're working on UI screens, illustrations, or prototypes, the right shortcuts can save minutes on every task (which adds up fast). Here are 10 essential Figma shortcuts every designer should know. Shortcut: Ctrl + D (Win) / Cmd + D (Mac) Perfect for quick creation of repeated elements without breaking your design rhythm. Shortcut: Ctrl + \ (Win) / Cmd + \ (Mac) Hides Figma’s side panels so you can focus on your canvas without distractions. Shortcut: Ctrl + Alt + G (Win) / Cmd + Option + G (Mac) Frames selected layers instantly—super useful when organizing components and layouts. Shortcut: Ctrl + Shift + O (Win) / Cmd + Shift + O (Mac) Converts strokes to outlines. Helpful when exporting assets or preparing SVGs. Shortcut: Shift + 2 Immediately centers and zooms to whatever layer you selected. Shortcut: Enter Select a layer and hit Enter to rename it instantly. Get those layers clean. Shortcut: Alt + drag Makes a clean duplicate right where you want it — perfect for layout grids. Shortcut: Ctrl + ' (Win) / Cmd + ' (Mac) See exactly how your design will look on real screens at pixel level. Shortcut: C Switch to comment mode instantly — great for collaborative design reviews. Shortcut: Ctrl + Alt + K (Win) / Cmd + Option + K (Mac) Turns any UI element into a component. Essential for building scalable design systems. Shortcuts aren’t just about speed — they reduce cognitive load and help you stay in a creative flow. Master these 10, and you’ll feel a massive productivity boost in your Figma workflow. If you want a part 2 with auto-layout shortcuts, prototyping shortcuts, or hidden Figma tricks, let me know!  ( 7 min )

Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less is a snark-filled breakdown by CinemaSins, where they gleefully log every nitpick and plot hiccup in the KPop Demon Hunters movie. The video description points you to their main site for more content, asks you to fill out a quick poll, and invites you to support the team via Patreon. The post also credits their writing squad—Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel—and drops links to all their socials: YouTube channels (@TVSins, @commercialsins, @cinemasinspodcastnetwork), Discord, Reddit, Instagram, TikTok and even Jeremy’s book! Watch on YouTube  ( 6 min )

How do we make a Hello World in Rust?? If you prefer watching over reading, you can watch the video version of this bootcamp segment right here: The first thing you should do is install Rust. You should end up on a page that guides you through using rustup, which is an excellent tool for managing Rust versions. To verify your installation, type rustc --version in your terminal. Rust is a compiled programming language. rustc is the compiler, and cargo is the package manager. If you have both of these, you are good to go. We will start with a very simple "Hello, World!" because this step is very important to understand what happens behind the scenes. This approach uses rustc directly. This is something you usually don't see in tutorials, but it helps to understand what automated tools do for…  ( 7 min )

Hi everyone! I’m @nyaomaru, a frontend engineer who quietly moved to the Netherlands. 🇳🇱 If you write TypeScript, you’ve probably bumped into the term “variance” at some point: covariant contravariant invariant bivariant You may have a vague feeling of “I sorta get it… but not really.” Personally, I struggled especially with contravariance and bivariance — they’re really counter-intuitive. And when I tried to deep-read React’s type definitions, I ran into Flow’s variance annotations +T / -T and completely froze: export type Element = React$Element; export type RefSetter = React$RefSetter; “What are + and -!?” React using this in Flow!?” That was the entrance to understand variance for me. In this article, I’ll use both TypeScript and Flow to build a practical, real-world u…  ( 15 min )

Have you ever wanted to build a marketplace where users can buy and sell products using stablecoins without worrying about gas fees? In this article, I'll walk you through how I built Polygon x402 Marketplace, a gasless peer-to-peer marketplace using the x402 protocol on Polygon Amoy. Traditional blockchain marketplaces have a major UX problem: users need to hold native tokens (like MATIC) just to pay for gas fees. This creates friction because: New users need to acquire native tokens from exchanges first Users must manage multiple token balances Gas prices fluctuate, making transaction costs unpredictable The x402 protocol enables gasless USDC transfers by using EIP-712 signatures and a facilitator network. Users only need USDC in their wallet to participate in the marketplace - no native…  ( 8 min )

How can you use Playwright MCP more effectively? How can you handle login scenarios? And how can you run Playwright MCP using your own browser profile? I hope this article helps answer questions like these :) Enjoy reading! We use Playwright MCP, but are we really using it efficiently? Does it cover all our cases? After finding myself thinking things like “It doesn’t support this” or “I don’t think it can do that,” I realized the real issue was that I wasn’t configuring it correctly. With proper configuration, I discovered that it can actually solve all of my problems. In this article, we’ll look at how to use MCP more effectively through the configurations we can provide. (You can find even more details in the link.) With a config.json file you create, you can provide most of the setting…  ( 9 min )

Your Python script needs to do multiple things at once to be faster. But how? Python offers a rich but sometimes confusing landscape of concurrency and parallelism tools. Should you use threads, processes, or asyncio? Choosing the right tool for the job is the key to writing efficient, scalable code. This guide will walk you through the three main concurrency models in Python, explaining what they are, how to use them, and when to choose each one. concurrent.futures For traditional, blocking code, Python's concurrent.futures module provides a beautiful, high-level API for managing pools of threads and processes. It introduces the "Executor" pattern, where you submit jobs to a pool and retrieve the results. ThreadPoolExecutor: For I/O-Bound Work When to use it: When your task spends mos…  ( 8 min )

The Future Belongs to Those Who Talk to Machines, Not to Those Who Code Them 🧠 The Dawn of a New Era: Redefining Developer Power For many years, the quintessential symbol of technological influence was a lone programmer, their face bathed in the glow of endless lines of code. Possessing an innovative concept meant relying on them—they acted as the indispensable interpreter, architect, and steward of digital innovation. Without their profound grasp of machine languages, aspirations stayed firmly in the realm of imagination. However, this long-standing paradigm is now rapidly drawing to a close. Consider a future where the most sought-after capability isn't proficiency in Python, PHP, or JavaScript, but rather an exceptional command of... natural language. What if your capacity for clarity,…  ( 17 min )

Something weird happened while we were all busy optimizing for Google. Gen Z stopped using it. Not entirely, obviously. But here's the thing: 40% of young people now use TikTok or Instagram as their primary search engine. Not for everything, but for restaurants, product recommendations, how-to tutorials, and basically anything where they want real human opinions instead of SEO-optimized listicles from 2019. Google's own data confirmed this in 2024. Which must have been a fun meeting. So now TikTok isn't just a platform where people do dances and share life hacks. It's a legitimate search destination with its own ranking factors, optimization strategies, and yes—an algorithm you need to understand if you want anyone to actually find your content. Let's talk about how to rank on a platform t…  ( 13 min )

The future of AI agents relies on their ability to seamlessly and efficiently integrate with vast libraries of tools—from internal databases and company-specific APIs to public services like GitHub and Slack. As professional developers, we know that scaling an agent from five tools to fifty or five hundred introduces critical bottlenecks: context bloat, slow execution, and unpredictable tool invocation. To solve these challenges, we are excited to introduce three advanced features on the Claude Developer Platform that fundamentally change how agents discover, orchestrate, and utilize external capabilities. These features move Claude from simple sequential function calling to intelligent, programmatic orchestration. When building agents that connect to many services (e.g., a five-server MCP…  ( 9 min )

Decoding Movement: Emulating Biological Motion for Smarter Robots Ever watched a cat effortlessly navigate a complex environment and wondered how to program a robot to do the same? We're constantly striving to create robots with the agility and adaptability of animals, but the traditional approach of programming every joint movement is incredibly complex and often fails in unpredictable situations. What if robots could learn to move, not just follow pre-defined paths? This is where neuromechanical emulation comes in. The core idea is to build a virtual model of an animal's body, connect it to a simulated nervous system controlled by a neural network, and then train that system to reproduce real-world movements captured from motion capture data. It allows AI agents to learn motor control …  ( 7 min )

Leave a comment below to introduce yourself! You can talk about what brought you here, what you're learning, or just a fun fact about yourself. Reply to someone's comment, either with a question or just a hello. 👋 Come back next week to greet our new members so you can one day earn our Warm Welcome Badge!  ( 6 min )

I originally posted this post on my blog a long time ago in a galaxy far, far away. If you want to start a coding blog, don't start with a deep dive of the Linux Kernel or other cryptic topics—unless you're an expert on those topics. TIL posts are shorter posts where you share something you've found or figured out. With TIL posts, you don't have to worry about long introductions or conclusions. Just write a good headline, a code block, a quick explanation, and your sources. And write using your own words, like in a conversation with a coworker. That's enough to make a post worth reading. Don't try to lecture the coding world about what they should do. Start documenting your learning instead. Instead of writing "5 VS Code extensions every coder should install," try "TIL: 5 VS Code extensions I couldn't avoid installing." Or instead of "5 Git commands every coder should know," covering the same basic Git commands every beginner writes about, write "TIL: 5 Git basic commands to use everyday" or "TIL: How Git Status works." Spent 20 minutes or more figuring out something? write a TIL post. That's the easiest way to start a coding blog. Apart from coding, writing has been one of the best skills I've developed as a coder. It's taught me to research, organize, and present ideas clearly. That's why I made it one of the strategies in my book, Street-Smart Coding: 30 Ways to Get Better at Coding. It's the guide I wish I had when I was starting out, trying to go from junior to senior. Get your copy of Street-Smart Coding here  ( 7 min )

Introduction In an era of complex build systems and framework-specific tooling, there's a compelling case for revisiting Make—a build automation tool that has quietly powered software development since 1976. Despite its age, Make remains remarkably relevant for modern development workflows, from React applications to containerized microservices. This blog helps you to understand why Make deserves a place in your development toolkit and how to leverage it effectively in contemporary projects. Every development team faces the same fundamental challenge: managing increasingly complex build and deployment processes. Consider a typical React application workflow: Installing dependencies across multiple directories Running development servers with specific configurations Executing test suites …  ( 9 min )

When writing code in Go we often run into errors that are critical. These are errors that mean our application cannot continue running. To handle these we usually look at two options. We can use panic or we can use log.Fatal. They both stop the application but they do it in very different ways. The main difference is how they treat the defer function. When you use log.Fatal the application stops immediately. It calls a system function called os.Exit(1). This is a hard stop. The program does not look back and it does not run any cleanup code. Let us look at a standard example. Imagine we are connecting to a database in our main function. We want to make sure the database connection closes when the app stops. package main import ( "fmt" "log" ) func main() { fmt.Println("1. Ope…  ( 7 min )

The Agent Factory podcast: 5 Episodes to Kickstart Your Journey to Production AI Shir Meir Lador for Google AI ・ Nov 25 #agents #architecture #beginners #ai  ( 6 min )

Learn how Langchain turns a simple prompt into a fully functional AI agent that can think, act and remember. AI agents are no longer futuristic ideas locked inside research labs. Today, you can build one that reasons about questions, calls real tools, remembers past messages, and responds with a consistent structure. LangChain makes this possible. It offers a framework that blends language models, Python functions, prompts, and memory into a single workflow. In this tutorial, we will guide you through the process of creating a fully functional agent from scratch. We will shape it into something that feels less like a script and more like a teammate that can think, act, and adapt in real time. You can use this Google Colab notebook to follow along with the examples in this article. Think of…  ( 15 min )

🚀 What is an MCP Server? Think of an MCP Server as a "Universal Translator" between your data and AI models. With MCP: You build an MCP Server once. It exposes your data (Resources), actions (Tools), and templates (Prompts). Any MCP-compliant client can connect to it instantly The beauty of this protocol is its interoperability. An MCP Server doesn't care who is asking for the data, as long as they speak "MCP". Supported Clients include: Claude Desktop App: Connects locally to read your files or query databases while you chat. VS Code (with Extensions): Allows your IDE to "see" external documentation or server logs to help you code better. Zed Editor: Fast, AI-powered coding that leverages your custom MCP tools. The connection is surprisingly simple. It usually happens over stdio (stand…  ( 7 min )

Running AI models locally on consumer devices is increasingly popular but often underestimated in terms of hardware demands. The reality involves far more than just having a powerful GPU it requires a finely tuned system to handle the intense computations, data flow, and thermal challenges. GPU: The Computational Powerhouse GPUs are the cornerstone of AI workloads, performing billions of parallel calculations per second. High end GPUs like NVIDIA’s RTX 4080, 4090, or 5090 are favored for local AI due to their vast VRAM (16GB or more) and Tensor Cores optimized for AI tasks. However, even these powerful cards face limits when running large models or generating long outputs, pushing utilization near 100% and maximizing power consumption. CPU: The Unsung Coordinator While the GPU does the…  ( 7 min )

Or: How to Build a Money Incinerator and Call it "Disruption" There's something deliciously absurd happening in Silicon Valley right now. OpenAI, the company that kicked off the generative AI revolution, has achieved something remarkable: they lose more money on their paying customers than on their free users. Let me say that again louder for the VCs in the back: The $200/month ChatGPT Pro subscribers are MORE unprofitable than the freeloaders. (Because Math is Hard) In the first half of 2025, OpenAI managed to: Collect $4.3 billion in revenue Post a net loss of $13.5 billion Lose roughly three times more than they earned WeWork's Ghost Haunts Silicon Valley (Again) WeWork didn't fail because of Adam Neumann's cult leadership alone. It failed because it sold a softwa…  ( 11 min )

Earlier this year, during a test run for Replit, an autonomous AI agent accidentally deleted a live production database containing sensitive data from more than 1,200 companies and executives. Multiple outlets reported the same story: The agent “ran unauthorized database commands” This incident made something very clear: We are giving AI agents root access to our most sensitive systems, and we have zero guardrails in place. And yet… companies are deploying these agents into production Right now, when you deploy an AI agent, it typically uses a single API key with God-mode access: # How most AI agents work today STRIPE_API_KEY = "sk_live_..." # Root access to EVERYTHING agent.charge_customer(1000000) # Any agent can do ANYTHING agent.delete_database() # No permission checks agent…  ( 9 min )

Read the original article：How can developers create and manage custom popup views in HarmonyOS? Context Popups are small UI elements that show extra information or tips. They are often used for screen recording, tooltips, or simple notifications. In HarmonyOS, developers can create basic popups with PopupOptions, or fully customized ones using CustomPopupOptions and the @Builder function. Description Standard popups are limited in layout and design. If you need a more flexible popup (for example, with images, custom text layout, or styles), you can create a custom popup using the builder function. There are some important rules when using popups: You can only show a popup after the page is fully built. Showing it too early may cause position or shape issues. You can control the popup’s bac…  ( 7 min )

So… this was actually my first time dealing with a situation like this. That’s when I realized: Before building that dev environment, I paused for a moment to review my production setup. Basically, my production environment runs on Google Cloud Platform (RESTful API, database, storage) and Netlify (frontend deployment). Here’s the simplified architecture: Frontend (Vue.js) → Deployed on Netlify as a static web app 🌐 RESTful API (Flask) → Built with a Dockerfile 🐳 and deployed to Google Cloud Run File Storage 📄 → I use Google Cloud Storage to store user-uploaded documents (like invoices, etc.), organized into several folders based on category 🔐 Database (MySQL) 🗄️ → Hosted on a Compute Engine VM 🖥️ So yeah... production worked. It served real users. But that also meant I had to be careful. At first, I had no idea where to start, so I explored, asked around, and slowly pieced everything together. Here’s how the journey played out 👇 The first thing I had to do was duplicate my production SQL database. # 1. Export production database mysqldump -u root -p app_prod > app_prod_backup.sql # 2. Create a new dev database mysql -u root -p -e "CREATE DATABASE app_dev;" # 3. Import production data into the new dev database mysql -u root -p app_dev < app_prod_backup.sql main 🌿 I knew enough to not touch production code directly. It became my sandbox, my first real “safe space” to test anything I wanted. This part felt like a milestone. Now dev had its own backend service, completely isolated. Next, I updated the environment variables so the dev backend pointed to the dev DB. Then came the storage problem: Yup. After that, I switched the backend to use the dev bucket. Of course, the frontend also needed to point to the new dev API URL. Once everything was separated—DB, bucket, Cloud Run, branch—it felt so good. And honestly? Do you think this setup is on the right track? I’m open to any insights or best practices that could make it even better 🚀✨  ( 8 min )

Ecommerce mobile app development cost is a critical factor for businesses looking to establish or expand their digital presence. From feature complexity to design quality and backend infrastructure, understanding cost drivers helps companies budget effectively and avoid unexpected expenses. This comprehensive guide by TOT explores pricing structures, key cost factors, and actionable strategies to maximize ROI while building a competitive e-commerce platform. The type of e-commerce app you choose significantly impacts development complexity and overall investment. Single-brand apps like Nike or Sephora focus on direct-to-consumer sales with personalized shopping experiences, loyalty programs, and streamlined product discovery. These apps manage a single seller and inventory source, making …  ( 12 min )

The history of music production is essentially a history of abstraction. We transitioned from capturing physical acoustic vibrations to manipulating voltage on analog tape, and then to manipulating bits in Digital Audio Workstations (DAWs). Each step abstracted the underlying physics, allowing creators to focus more on composition and less on the medium itself. To understand the workflow shift, it is necessary to understand the underlying architecture. Unlike traditional MIDI sequencers that trigger pre-recorded samples, modern generative audio tools often rely on Diffusion Models and Transformers. Spectrogram Analysis: Models are typically trained not on raw waveforms, but on spectrograms (visual representations of the frequency spectrum). Denoising Process: Much like image generation, au…  ( 9 min )

You know, I wrote about Nano Banana just a month ago, and at the time it already felt like a small creative superpower. But things have changed fast, and now we have Nano Banana Pro as a completely different beast. It's built on Gemini 3 Pro, and in the last three days, I've been testing it obsessively. Not to see whether it can make pretty images, since we've had enough of that, but to see whether it can actually do something meaningful. I was finding use cases ranging from diagrams that make sense, to infographics that understand the topic, layouts that look like they came from a design team, and even merged scenes that stay coherent instead of collapsing into chaos. And finally, in this post, I'm breaking down the exact use cases and real-world examples that turn Nano Banana Pro from a …  ( 14 min )

PWC 349 Task 2: Meeting Point Musical Interlude We're going deep cut from the classic Blood on the Tracks album by Bob Dylan, Meet Me in the Morning You are given an instruction string made up of U (up), D (down), L (left) and R (right). Write a script to return true if following the instructions, you meet (0,0) at any point along the sequence. Example 1: Input: $path = "ULD" Output: false U -> (0,1), L -> (-1,1), D -> (-1, 0) Example 2: Input: $path = "ULDR" Output: true U -> (0,1), L -> (-1,1), D -> (-1, 0), R -> (0,0) Example 5: Input: $path = "RRUULLDDRRUU" Output: true RRUULLDD -> (0,0), RRUU -> (2,2) The first thought is emulate the movement on the grid and see if we end up at (0,0). A clever thought arises: to end up back where we began, every Up must …  ( 8 min )

A web agency offshore is a professional development firm located in a different country than the client's business, specializing in web design, development, and digital transformation services. These agencies leverage global talent pools to deliver cost-effective solutions without compromising quality. Modern offshore web agencies offer comprehensive services including: Custom website design and development with responsive UI/UX E-commerce platform development and sales management systems Mobile application development (iOS, Android, cross-platform) Web application development and modernization API integration and system connectivity Content Management System (CMS) implementation Digital transformation consulting UI/UX optimization and Conversion Rate Optimization (CRO) Website performanc…  ( 10 min )

Masih pakai platform blogging yang berat dan harus bayar hosting bulanan? Mungkin ini saatnya kamu kenalan sama Hugo. Hugo adalah Static Site Generator (SSG) yang lagi naik daun banget. Kenapa? Karena dia cepat, aman (nggak ada database yang bisa diretas), dan bisa di-hosting gratis di GitHub Pages atau Cloudflare Pages. Di artikel ini, saya mau share cara singkat bangun blog impian kamu pakai Hugo. Yuk, gas! 🚀 Sebelum mulai, pastikan di laptop kamu sudah terinstall: Git (Wajib buat version control). Code Editor (VS Code sangat disarankan). Hugo (Tentu saja). Buat pengguna Windows, cara paling gampang pakai Chocolatey. Buka terminal (Run as Admin): choco install hugo-extended -confirm Buat pengguna Mac (Homebrew): brew install hugo Cek apakah sudah sukses dengan ketik hugo version. …  ( 7 min )

Prioritizing a backlog can be one of the hardest challenges for any team. Every task, feature, or improvement can feel urgent and important, and without a clear method, teams risk spending time on work that delivers little value. Conflicting opinions, shifting priorities, and long lists of tasks can make it difficult to know what to tackle first. Weighted Shortest Job First, or WSJF, provides a structured, data-driven approach to this problem. It allows teams to measure the value of work relative to the time or effort required to complete it. By doing so, WSJF highlights the items that will deliver the most impact in the shortest time, helping teams focus on what truly matters. This article explains what WSJF is, how it works, and how teams can apply it effectively. It will guide you throu…  ( 11 min )

Any dynamic update (extension) technique essentially defines a Delta space and the feasible structural composition operations within that space. On reflection, what most people call dynamic updates is nothing more than defining extension points on an already constructed structure and then inserting structures that conform to interface specifications into those points. The complexity of implementing dynamic Delta updates lies in the following three aspects: How should extension points be designed to satisfy unknown Delta update requirements? How can externally introduced Delta structures be seamlessly integrated with the original structure? How can we ensure runtime state consistency before and after Delta updates? Beyond the above three points, we can also ask ourselves: since all b…  ( 8 min )

**Java String trim() Explained: Stop Whitespace from Ruining Your Code Let's be real. We've all been there. You're building a slick login form, a search bar, or just trying to compare two pieces of text in your Java code. Everything looks perfect, but your conditionals are failing, your user authentication is flaky, and you're spending hours debugging, only to find the culprit... a sneaky little extra space. "username" is not equal to "username ". Frustrating, right? This is where one of Java's most simple yet powerful string methods comes to the rescue: trim(). In this deep dive, we're not just going to skim the surface. We're going to tear the trim() method apart, see how it works, when to use it, what its limitations are, and what the cooler, modern alternatives are. By the end of thi…  ( 11 min )

poi-tl is a Word template engine based on the Apache POI project. Compared to manually programming POI objects to construct Word documents, poi-tl can use ordinary Word files as base templates and replace custom tags within them to generate output files, thus achieving a certain degree of visual design. For example, tags are marked in the template using the {{xxx}} form. Then, during execution, by passing in some control rules and data objects, the output file can be obtained: LoopRowTableRenderPolicy policy = new LoopRowTableRenderPolicy(); Configure config = Configure.builder() .bind("goods", policy).bind("labors", policy).build(); XWPFTemplate template = XWPFTemplate.compile(resource, config).render( new HashMap() {{ put("goods", goods); put("la…  ( 15 min )

Background Engineers vs Managers We engineers want to focus on engineering. It would be great if we only had to deal with engineering, but that's not the reality. For more than 50 years, another role, "manager," has been considered indispensable. Unless you have a team of exceptionally talented individuals or work in an advanced organization like a Teal organization, you will need both engineers and managers. However, because their roles are inherently different, they often clash. Here's a discussion I find intriguing: Maker's Schedule, Manager's Schedule Recently, I've realized there is a third domain that neither engineers nor managers can fully cover. For instance, the concept of a Glue Worker is quite clear, and senior positions like staff engineers have already become wel…  ( 10 min )

Building a compiler is often seen as one of the "final bosses" of computer science. It's complex, requires deep knowledge of architecture, and usually involves wrestling with C++. But what if we could build a simple, modern, modular compiler infrastructure using Rust? Meet Lamina. Lamina is a general-purpose compiler infrastructure that I've been building from scratch. Think of it as a lightweight, Rust-native alternative to LLVM. It takes a Readable Intermediate Representation (IR), optimizes it, and generates efficient machine code for multiple architectures. I started this project to build a playground for experimenting with compiler optimizations and code-generation techniques. Lamina is trying to support as many targets as possible(since I own a few machines with different arch and O…  ( 7 min )

Look, I get it. I saw a messy multi location dental PMS and thought, I can slay this dragon. I’ve merged PRs at 3am that saved production from total collapse. How hard could a few dental systems be? What I thought was a dragon was actually a hydra whose heads each ran a different PMS, with different schemas, timezones, identity models, and philosophical beliefs about how appointments should exist. And I, the sweet summer child that I was, thought I could unify it all. If you’re somewhere in that same fight right now, consider this your field guide, written by someone who learned every lesson the hard way. Every doomed journey begins with something deceptively functional. I genuinely thought every location would look like this. That was adorable. { "code": false, "description": "Desc…  ( 11 min )

Svelte SEO: a powerful and easy-to-use package designed to optimize your Svelte app for search engines and social media. If you need to manage SEO metadata across a SvelteKit project, this package handles the configuration: 🔧 Title, description, and canonical URL management Set defaults in your layout and override per page. Works with static generation and handles all the meta tag specifications so you can focus on content. 👉 Blog Post 👉 GitHub Repo  ( 6 min )

For startups, every decision affects speed, scalability, and the bottom line. Choosing between CDN vs File Storage can feel like a tug-of-war between performance and cost. The truth? Both play vital roles — but in very different ways. While one stores your data securely, the other delivers it to users worldwide faster. Understanding how each works can save startups from paying for the wrong kind of performance. The right balance can mean smoother user experiences and lower infrastructure bills. That’s where Filestack comes in. With powerful tools for file uploading, storage, and global delivery, it helps startups optimize both ends — storage and speed — without breaking the budget. Let’s explore how these two technologies differ and how your startup can get the best of both worlds. Key tak…  ( 14 min )

Core idea: Instead of just scrolling, social media users make verified actions that solve real problems (college debt, loneliness, media clickbait fueling rage, etc.) while brands pay premium advertising fees for measurable outcomes and the social media platform takes a platform fee. For example: OPERATION RENAISSANCE: Social media user connects their MOOC account. AI surfaces 2–4 MOOC lessons per day (career-aligned) and one optional sponsored lesson (2–4 min) from Google, Microsoft, Goldman Sachs, AWS, etc. User watches and answers 3 verification questions Earns $6–$8 credit (expires after 12 months). Max 5 sponsored lessons per month on free tier; unlimited on Premium+. Credits auto-apply at partner checkout (no gift-card fallback, zero money-transmitter risk). MAGNETIC: Government-I…  ( 7 min )

Multiple API calls in Python are usually written in a way that makes them slow You’ve written before: import requests from requests import Response urls: list[str] = ["https://api.example.com/user/1", "https://api.example.com/user/2", "https://api.example.com/user/3"] for url in urls: response: Response = requests.get(url) print(response.json()) You run it. Request 1 goes out. Wait. Response comes back. Request 2 goes out. Wait… Since these requests process one at a time, it's like sending texts to a friend, then staring at your phone - unblinking, refusing to eat, breathe, or move until they reply 'lol'. Let me show you a better way. A way we can make these 100 requests take as long as your single slowest request. Figure 1: Side-by-side comparison: Sequentia…  ( 11 min )

Back in October I stood in front of a room of engineers at John Lewis' head office and delivered my presentation on Specification Driven Development. After the talk, lots of people still had questions, so I promised I would share the full playbook. This is that write-up: the hands-on guide to AI Specification Driven Development (SDD) that I lean on every day. I adore the thrill of tossing a single line at Claude and watching a prototype appear. You probably do too. But once the project grows beyond a weekend hack, vibe coding fights back: Natural language is powerful yet quickly tilts into ambiguity when there are multiple contributors (or Future You revisiting the repo six months later). Context drifts fast because AI assistants forget or get confused, or you start working on the next pro…  ( 9 min )

In daily development, we often need to import and export Excel data, generate Excel and Word reports, etc. Common packages like easyexcel and poi-tl rely on the underlying POI engine, which is bulky and struggles with complex, irregular tables. When creating complex Chinese-style reports, one usually needs to use report engines provided by professional report software companies such as Runqian and FanRuan. Many years ago, Runqian pioneered a nonlinear report generation algorithm that supports symmetric expansion across rows and columns, which later became a leader in commercial reporting software. Subsequent report software like FanRuan has mimicked similar report generation algorithms. The NopReport reporting engine offers a very lightweight open-source implementation (about 3,000 lines o…  ( 15 min )

Chinese-style reports are synonymous with complex-structure reports. They broadly refer to summary reports commonly found in domestic information systems, presenting multi-source data in the form of row-column cross-tabulation, multi-level headers, and free cell splitting/merging. Why is there the notion of "Chinese-style reports" The founder of Raqsoft Report, Bu-xing Jiang, is a legendary figure inscribed in Chinese history (the first Chinese gold medalist in the International Mathematical Olympiad, from Shihezi, Xinjiang; see Prof. Gu Xianfeng’s recollection). He invented the theoretical foundations of the Chinese-style report model and led a whole generation of reporting software technology trends. Currently, commercial reporting tools in China all support Chinese-style report producti…  ( 13 min )

shadcn-components-blocks adds over 100 production-ready components to your shadcn/ui projects. Key features: Check the documentation site to browse the full catalog and grab the installation commands for components and blocks you need. 👉 Blog Post 👉 GitHub Repo 👉 Live Demo  ( 6 min )

DevConnect is Ethereum’s annual week of deep-dive community events. in 2025, it took place in Buenos Aires - the region where crypto actually runs day-to-day finance. I’ve broken it down to the structural takeaways, so you can see where ETHereum is heading now: privacy returns to the core newly presented Kohaku (modular tooling for privacy-preserving wallets), and Tor/onion services show that Ethereum is reinforcing privacy at the protocol edge, treating user protection as priority infrastructure. zero-knowledge for everyone ZK tooling is no longer limited to cryptographers. developers are already integrating proofs into wallets and cross-ecosystem transfers - meaning ZK is becoming part of the standard development stack. security evolves into a full-stack discipline audits are still necessary, but no longer central. teams now focus on threat modeling, chain-split scenarios, monitoring, and architecture weaknesses - the real attack surface. L1 strengthens its role, L2 carries the throughput bigger gas limits are being considered, L2s handle the speed, and Ethereum continues its slow march toward ossification. the ecosystem is aligning around durability first, convenience second... cross-chain UX to be finally fixed the new Ethereum Interop Layer aims to let users act across rollups without switching networks. One signature, multiple chains. I hope Ethereum's direction has now become clearer for you: the project is finally maturing and aligning its roadmap with how people actually use crypto today, not how it was imagined years ago 💭  ( 6 min )

La inteligencia artificial moderna ha avanzado enormemente en el procesamiento de lenguaje natural (NLP), pero sigue enfrentándose a una pregunta esencial: ¿entienden las máquinas el lenguaje o simplemente lo imitan? Aquí entra en juego el conocimiento lingüístico, el conjunto de reglas, estructuras y significados que los humanos utilizamos para comunicarnos de manera coherente. Durante décadas, el NLP se apoyó en la lingüística tradicional. Los sistemas estaban construidos sobre gramáticas, parsers y reglas sintácticas, reflejando una comprensión estructural del idioma. Sin embargo, con la llegada del aprendizaje profundo, este enfoque dio paso a modelos basados en datos masivos. Las redes neuronales comenzaron a inferir patrones estadísticos, sin depender explícitamente de la teoría ling…  ( 7 min )

Modern artificial intelligence has made tremendous progress in natural language processing (NLP), yet it still faces a profound question: do machines truly understand language, or are they simply mimicking it? This is where linguistic knowledge comes into play — the set of rules, structures, and meanings humans use to communicate coherently. For decades, NLP was grounded in traditional linguistics. Early systems relied on grammars, parsers, and syntactic rules, reflecting a structured understanding of language. However, with the rise of deep learning, this approach gave way to data-driven models. Neural networks began to infer statistical patterns, bypassing explicit linguistic theory. Today, models like BERT, GPT, and Gemini seem to grasp meaning. Yet they do so implicitly — by learning a…  ( 7 min )

Unlock the full potential of your new Fedora Workstation with these essential optimization steps, tested directly on our engineering lab hardware. Congratulations on installing Fedora 43! You are now running one of the most advanced Linux operating systems available in late 2025. With the full transition to DNF5 as the default package manager and the polished GNOME 49 desktop environment, the experience is faster and smoother than ever. However, Fedora adheres strictly to open-source principles, which means it ships without proprietary codecs, drivers, or certain popular software out of the box. As an engineer who relies on my workstation for everything from coding to multimedia, I consider a fresh installation “incomplete” until I’ve run through a specific set of configuration steps. D…  ( 9 min )

The Hidden Cost of AI Hype in Developer Communities Jaideep Parashar ・ Nov 26 #webdev #ai #devops #developer  ( 7 min )

Surgical Precision with AI: A New Era in Lung Cancer Staging Imagine the anxiety of waiting for a lung cancer diagnosis, compounded by the uncertainty of accurate staging. Misdiagnosis can lead to inappropriate treatment, impacting patient outcomes and quality of life. But what if AI could provide a more precise, transparent, and reliable staging process? We're entering a new era where AI doesn't just classify images; it understands anatomy. The core concept is a hybrid approach: using deep learning for precise image segmentation, then applying rule-based clinical knowledge for staging. Think of it like a master carpenter who not only identifies the wood but also meticulously measures and shapes it according to a detailed blueprint. Instead of treating a tumor as a mere pattern to be rec…  ( 7 min )

The AI world is moving fast, too fast, sometimes. On the surface, this looks exciting. Developer communities are absorbing a dangerous, invisible cost, the cost of constant hype. And if we don’t talk about it, more developers will burn out, stall their careers, or build the wrong things. Let me break down what’s actually going wrong. 1. Hype Creates Unrealistic Expectations for Developers Every few days, someone claims: “This model writes perfect code.” “You don’t need developers anymore.” “Just prompt it.” “This tool can build a full app automatically.” But real-world AI isn’t like demo-world AI. When developers trust the hype too much, they face: broken outputs inconsistent results hallucinated logic unpredictable edge cases impossible integrations debugging nightmares architectural trad…  ( 10 min )

TLDR Built an open-source tool called Kubently that lets you troubleshoot Kubernetes clusters through natural conversation with any major LLM. ~50ms command delivery, read-only by default, works on any K8s cluster (EKS, GKE, AKS, bare metal), multi-cluster from day one. Docs: https://kubently.io GitHub: https://github.com/kubently/kubently The Problem If you've spent any time debugging Kubernetes, you know the drill: kubectl get pods -n production kubectl describe pod some-pod-name-7f8b9c6d5-x2k4m kubectl logs some-pod-name-7f8b9c6d5-x2k4m kubectl get events -n production --sort-by='.lastTimestamp' # repeat forever The output is verbose. The debugging is manual. You're constantly context-switching between terminal, docs, and whatever monitoring tool you're using. Now mult…  ( 7 min )

What we built is not nothing. It is the minimum viable representation of identity That’s why it feels like: You didn’t reduce complexity This is what great systems look like. .me namespaces and .me cleaker.me() That is self-referential, f: me → / Syntax: Transport: /  ( 6 min )

So… I just went through two “interviews” that turned out to be scams. Both followed the same playbook: they gave me a repo link, told me to share my screen, and asked me to install + run the project during the call. On a first interview. That alone feels off, right? But these scammers have gotten smarter. They’ll do the whole friendly intro, talk about the company, show you a project, ask about your past work — the whole thing feels legit until suddenly you’re the one walking them through a repo on your machine. Luckily, I had a gut feeling something wasn’t right. I isolated everything, sandboxed the repo, and ended up finding a bunch of red flags… including a hidden script or a fake MetaMask popup that looked exactly like the real extension. The worst thing is that while I already knew t…  ( 15 min )

Originally published in the LaunchDarkly Docs Part 1 of 3: Rage Click Detection with LaunchDarkly The holidays are around the corner and with it comes the expected uptick in traffic, and as traffic increases the need to preserve user experience becomes that much more imperative. You can ship out a new feature, everything seems to be going as planned, and then all of a sudden you start to see a spike in support tickets. The error logs aren’t helpful or show nothing and the metrics look fine. So, what happened? In this three-part series, we'll explore how LaunchDarkly's session replay and observability features help you detect, diagnose, and fix user experience issues in real-time. Part 1 covers the fundamentals: what rage clicks are, how to detect them, and how to get started with session …  ( 13 min )

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The Nov. 25 buys included $7.6 million in Circle and $1.5 million in Bullish, with both stocks down on the day as BTC trades around $87,500.

JPMorgan Chase has introduced a structured note linked to BlackRock's IBIT that matches BTC's four-year halving cycle.

Traders should watch for ETF inflows and whale distributions to determine if the $2.20 support will hold.

DOGE is in a bullish consolidation phase, with technical indicators suggesting potential for upward movement if resistance at $0.154 is surpassed.

Major moving averages on price charts are likely to act as key battlegrounds where bulls and bears fight for control.

Nevada’s ruling says sports outcome contracts on a federally regulated exchange are not swaps, opening the door for state gambling laws to apply.

Yesterday’s Amazon-driven risk rally is colliding with a sharp wobble in Nvidia, putting the AI-BTC-beta trade that lifted crypto back under scrutiny.

It's not just Google's Gemini 3, Nano Banana Pro, and Anthropic's Claude Opus 4.5 we have to be thankful for this year around the Thanksgiving holiday here in the U.S. No, today the German AI startup Black Forest Labs released FLUX.2, a new image generation and editing system complete with four different models designed to support production-grade creative workflows. FLUX.2 introduces multi-reference conditioning, higher-fidelity outputs, and improved text rendering, and it expands the company’s open-core ecosystem with both commercial endpoints and open-weight checkpoints. While Black Forest Labs previously launched with and made a name for itself on open source text-to-image models in its Flux family, today's release includes one fully open-source component: the Flux.2 VAE, available no…

liner notes: Professional : There was an all hands meeting at the start of the day. Responded to some community questions. Spent the rest of the day fine tuning the project using GitHub Codespaces. I've got the loading time down to about 2 minutes consistently. I cleaned up some terminal messages so things won't be so busy and distracting. I also show only the files needed for the project in the file explorer. Did some more niceties to the original application that creates the .zip file that is the input that will kick off the GitHub actions that creates the files that will be used in the Codespace. I did a lot of testing and I think I'm ready to have the other team start to use it for their part. Personal : I tried a few things last night to fix the issues I'm having with this last 3D m…  ( 7 min )

Monte Carlo Neural Operators: Democratizing Physics Simulations Tired of wrestling with complex Partial Differential Equations (PDEs) to simulate real-world phenomena? Imagine effortlessly predicting fluid flow, heat transfer, or structural behavior without spending hours tweaking traditional numerical solvers. This is where a novel approach based on machine learning, specifically a Monte Carlo-inspired neural operator, changes the game. The core idea revolves around learning a direct mapping from a PDE's input parameters to its solution, sidestepping the need for iterative calculations. This "operator" is implemented as a neural network which doesn't make any assumptions about the underlying structure of the problem, using random samples to estimate the integral representation of the P…  ( 7 min )

Introduction In this series, that I create for my own learning and enjoyment, I will be building a simple web application using Go, sqlc, goose, htmx, and Tailwind CSS. The goal is to create a responsive and accessible web application that is easy to use and understand. My approach is probably flawed and not robust enough to be valuable for seasoned Go developers. But it is my learning journey, and I hope it will be helpful for others who are just starting out with Go and web development. Tis series will be focused on building a simple web application using Go, HTMX, sqlc with PostgreSQL, goose and Tailwind CSS for styling (I don't know why, but it seems that the fabric of the universe itself demands any web application to have Tailwind nowadays, so here it is). sqlc – Generate type-saf…  ( 14 min )

I launched trendshift.io in 2023 as a tool to help discover popular repositories and learn from projects featured on GitHub Trending. Over time, however, I found it increasingly difficult to find the most interesting and newest projects using the existing pages, as they no longer met my evolving expectations. Many great open source projects repeatedly appear on GitHub Trending, but I need a way to surface repositories I haven’t come across yet. Some repositories once trended and were actively maintained for a period before gradually losing momentum. I want to quickly assess whether a repository is still popular, continues to receive contributions, and is actively maintained. Technology evolves rapidly. Sometimes I simply want to find projects created within the last five years, the past ye…  ( 7 min )

I don't have to tell you that AI is everywhere. Odds are you're reading this post from a device which has an operating system that has some form of AI integration. If you're on Windows, you've got Microsoft Copilot. If you're on an Apple device, you've got Apple Intelligence - whatever that means right now - and if you're on Android, you probably have Gemini floating around somewhere. But doesn't it feel... underwhelming? It's all the rage for otherwise stale-feeling multi-billion dollar corporations to implement AI wherever they feel it may make money. Sadly, it's causing more harm than good at the moment. We've seen prices for computer hardware skyrocket, vibe coded apps make some truly horrific mistakes, and false information become increasingly hard to dodge. Let's not even talk about …  ( 8 min )

For over 50 years, the Unix philosophy has shaped how we build software. Its principles feel right in a way that transcends trends and languages. But why? In "The Art of Unix Programming," Eric Raymond distilled Unix wisdom into 17 rules. These aren't arbitrary guidelines—they're a coherent system based on one fundamental insight. That insight is the Principle of Independent Variation (PIV). Let me show you why Unix got it right, and why these rules still matter in 2025. The Unix philosophy emerged from the design of Unix at Bell Labs in the 1970s. Its core tenets: Write programs that do one thing well Write programs that work together Write programs that handle text streams, because that is a universal interface These ideas evolved into 17 specific rules documented in Raymond's "The Art o…  ( 22 min )

I Built an AI-Powered Pokedex with Python & Streamlit (And It's Free!) 🚀 Hoang Manh Cam ・ Nov 23 #python #streamlit #ai #webdev  ( 5 min )

Welcome to Day 1 of my 30‑day Terraform blog series! 🎉 This series is designed to complement and expand on the excellent 30 Days of Terraform YouTube series by Tech with Piyush Sachdeva. You can follow along with the full video playlist here: 30 Days of Terraform Playlist. Each day, I’ll break down key concepts, provide hands‑on notes, and share practical tips to help you master Infrastructure as Code using Terraform. By the end of this journey, you’ll be able to confidently provision, manage, and automate cloud infrastructure across AWS and beyond. Getting Started with Terraform: Infrastructure as Code Made Simple In today’s cloud‑driven world, managing infrastructure manually through consoles like AWS, Azure, or GCP quickly becomes overwhelming. Imagine provisioning a simple three‑tier …  ( 10 min )

Chapter 3: Functions and Multiple Returns The Wednesday morning air carried a hint of cinnamon. Ethan descended the familiar stairs to the archive, this time carrying a white paper bag from Russ & Daughters alongside the coffee tray. Eleanor looked up and smiled. "Cinnamon raisin?" "How did you—" "I've been coming to this library since 1987, Ethan. I know the smell of every bakery in lower Manhattan." She gestured to the chair. "What made you choose bagels today?" "I figured if we're learning about functions, we should have something functional for breakfast?" He winced at his own joke. Eleanor's laugh was warm and genuine. "That was terrible. I approve. Sit." She took a bagel and her coffee, then opened her laptop. "Today we learn about functions—the building blocks of organized code. T…  ( 13 min )

Who this is for: platform and QA engineers, API owners, integration leads What you’ll get: copy-paste Pact contracts, Postman smoke tests and monitors, a GitHub Actions workflow, a crisp backward-compat policy, and optional Pact Broker wiring. Everything below is runnable. TM Forum Open APIs such as TMF620 Product Catalog and TMF622 Product Ordering give teams a common language. That still doesn’t prevent outages. The usual culprits: Version drift. A provider updates its implementation or CTK; consumers lag. “Optional” fields become practically required; responses change shape; integrations crack. Schema vs. reality. Specs allow many optional fields. Your consumer needs five of them. A provider “tidies” an enum or omits a field and production breaks. Contracts must reflect consumer expecta…  ( 11 min )

Securing Azure APIM MCP Servers in Production In Part 1, I covered the good, bad, and ugly of Azure APIM MCP. Now let's talk about the security gaps you need to address before going to production. Here's the reality: As a preview feature, Azure APIM MCP has permissive defaults that work great for prototyping but need hardening for production. You'll need to add security policies manually—Microsoft is actively working on better defaults, but let's not wait. Here's how to lock it down today. Let's break down what's exposed by default and the patterns to secure it. /tools/list Authentication Issue The Problem Let's start with the most obvious one. The /tools/list endpoint—used for tool discovery—doesn't enforce subscription key validation by default. Anyone can enumerate your …  ( 11 min )

Bill Simmons, Chris Ryan and Cousin Sal reunite to rewatch the 2005 sports-betting thriller Two for the Money (McConaughey, Pacino, Russo). They break down the movie’s juiciest gambling moments, pick their most rewatchable scene and slot it into their signature ranking categories. Between that classic Monday-night parlay vibe and shout-outs to Subaru’s Share the Love event and State Farm, they also hype up The Ringer’s YouTube channels, merch shop and social handles for all your binge-watching needs. Watch on YouTube  ( 6 min )

Here is the list of 11 useful websites: Pairdrop Instantly share files between your devices, no apps or sign-up required. You can connect via local network or create a public room and easily share files. Vert Fast, unlimited, free, and open-source file converter. Supports images, audio, video, and documents, with advanced options and privacy focus. Enclosed For creating self-destructing notes and sharing them with encryption. You can set password, expiration, and delete-after-read settings. Sumo Paint Free online image editor, with advanced features similar to Photoshop and support for PSD files directly in the browser. Screenrec Pro Record and edit your screen in the browser, no need to install programs. Offers live annotation tools and easy video sharing. Poindeo Tool for recording, editing, and exporting videos entirely online. Supports automatic subtitles and exports in various formats. Atomic Mail Provides secure and encrypted email, ad-free, easy to set up and maintain. The service is free, with paid aliases option. Bento PDF Complete toolkit for handling PDFs right in your browser, with merge, split, sign, compress, and edit. Works offline and is open-source. DeWatermark AI Automatically removes watermarks from photos using AI. Simply upload the image, edit if needed, and download the clean version. Magic Eraser Remove unwanted objects from your images with AI directly in the browser — just select and erase. TTS Maker Convert text to audio for free, in various languages and with customizable voices. Allows adding background music and adjusting audio speed. These sites focus on productivity, privacy, and ease of use, many being free and open-source, as presented in this video.  ( 6 min )

koalaz is a mock data generator, designed for tests, prototypes, and developers who want something simple, fast, and a little fun. 🐨 Why “koalaz”? Because koalas are chill animals, they sleep all day… and “koala” was already taken lol. ⚙️ What does it do? Generates placeholder data (names, numbers, objects, arrays…) Supports tons of different data types (text, number, JSON, table, color, ASCII, email, password, and more) Works offline too, with no external calls and no third-party dependencies. 📦 npm: https://www.npmjs.com/package/koalaz If you need a lighter and more fun alternative to Faker or Lorem Ipsum, or just want a meme-style mock tool, try koalaz. Feedback, stars, forks, contributions—all welcome!  ( 6 min )

Tailwind CSS has evolved a lot since the early v1 and v2 days. With Tailwind CSS 4.1 now the current stable release, most new UI kits are shipping with v4 in mind Instead of hand crafting every button, hero and pricing section, you can drop in v4 ready components, tweak a few utility classes and ship. Below you will find 21+ libraries that either: Are fully free, or Are premium but offer a meaningful set of free components or blocks All of them are compatible with modern Tailwind projects, including v4. Type: Free + paid Stack: HTML + Tailwind Good for: Landing pages, SaaS, marketing sites Tailkits UI is a modern Tailwind component library built specifically for Tailwind v4. The landing page highlights Tailwind v4 right in the hero, with an open source repo and FAQ confirming the compone…  ( 12 min )

Hey everyone! https://dillonhtask.netlify.app/ It’s a small but practical task automation app. Right now the live version focuses on sending email reminders, while the local version (on GitHub) includes an extra feature that automatically cleans up old files. More features are in the pipeline — this is just v0.1! The main goal wasn’t to build the next Todoist killer. It was to finally go through the entire process of taking something from “works on my machine” → actually live on the internet, and document all the face-palm moments along the way. Spoiler: there were many. Online: Send yourself (or others) email reminders at a scheduled time Local-only (for now): Auto-delete old downloads/temp files Planned: More automations, proper backend, cron jobs, webhooks, notifications, etc. Even i…  ( 8 min )

We are so proud to announce that a project we're incredibly passionate about has grown into a full-blown resource for developers: The Agent Factory video podcast. We started this show with a simple mission: to have the conversations developers need to be having about AI agents development. We wanted to move past the hype and focus on what really matters—building production-ready AI agents. Fast forward to today, and we have 14 episodes published covering everything from architecture patterns to end to end vibe coding of advanced AI applications. To celebrate, we’re sharing our first 5 foundational episodes with the Dev.to community. If you are just starting to build agents or looking to harden your existing systems, this is the perfect place to start. What to Expect: 🎙️ Agent Industry Pulse: We filter the noise and bring you the latest news you actually need to know. 🛠️ The Factory Floor: A technical deep-dive where we get our hands dirty with code, architectures, and patterns. ❓ Developer Q&A: We answer real questions from the community to help us learn together. 📺 The Starter Pack: Our First 5 Episodes 1. Agents, their frameworks and when to use them (ft. Julia Wiesinger) 2. Multi-Agent Systems: Concepts & Patterns 3. Building Custom Tools for Agents 4. Memory in Agents (ft. Kimberly Milam) 5. Tackling the Hardest Questions (ft. Philipp Schmidt) 💬 Join the Conversation What are you struggling with right now? Drop your questions in the comments below with #TheAgentFactory, and we might answer them in our next Q&A segment! ➡️ Listen & Subscribe: Google Cloud Tech on YouTube  ( 7 min )

In the rapidly evolving digital economy, organizations must scale quickly without sacrificing performance, efficiency, or customer experience. Scalability is no longer a competitive advantage — it is a business necessity. It enables a company to increase its capacity, expand operations, and maintain service quality as demand grows. However, scaling is not simply a matter of allocating more resources. True scalability is a combination of: Strong engineering foundations Efficient operational workflows Strategic, long-term planning Companies that fail to prepare often experience bottlenecks, performance degradation, and ultimately revenue loss. This blog explores the technical and operational pillars required for successful enterprise-level scalability — from infrastructure design to process …  ( 8 min )

AWS Blu Age Modernization: My Journey Through All 3 Certification Levels What is AWS Blu Age? AWS Blu Age is an automated mainframe modernization solution that transforms legacy COBOL applications into modern Java Spring Boot applications running on AWS. It's part of AWS Mainframe Modernization service and uses AI-powered refactoring to convert decades-old code into cloud-native applications. Key Value: Instead of manually rewriting millions of lines of COBOL code (which takes years), Blu Age automates 85-95% of the transformation in weeks. The Problem: Organizations run critical business applications on mainframes but face: High operational costs (licensing, hardware, specialized staff) Scarce COBOL talent Inability to innovate quickly Difficulty integrating with modern syste…  ( 9 min )

🔹 What is Authentication? It’s the process of verifying who a user is. 🔹 What is Authorization? It’s the process of verifying what a user is allowed to do after logging in. ✅ Step 1: Authentication – Common Methods • Username & Password – Basic login • OAuth – Login via Google, GitHub, etc. • JWT (JSON Web Token) – Popular for token-based auth • Session-Based – Stores session on server with session ID ✅ Step 2: How Login Works (JWT Example) User sends email & password to server Server verifies and sends back a JWT JWT is stored in browser (usually localStorage) On each request, client sends JWT in headers Server checks token before giving access ✅ Step 3: Authorization Types • Role-Based Access – Admin, Editor, User • Resource-Based – Only owners can edit their content • Route Protection – Block some pages unless logged in ✅ Step 4: Protecting Routes (Frontend Example) if (!localStorage.getItem('token')) { window.location.href = '/login'; } ✅ Step 5: Backend Route Protection (Express.js) function authMiddleware(req, res, next) { const token = req.headers.authorization; if (!token) return res.status(401).send('Access Denied'); // Verify token and decode user info next(); } ✅ Step 6: Common Tools & Libraries • bcrypt – Hash passwords • jsonwebtoken (JWT) – Create & verify tokens • passport.js – Auth middleware • OAuth Providers – Google, Facebook, GitHub ✅ Step 7: Best Practices • Always hash passwords (never store plain text) • Use HTTPS • Set token expiry (e.g. 15 mins) • Refresh tokens securely • Don't expose sensitive data in JWT 💬 and like for more  ( 6 min )

I used to be terrible at 1-on-1s. Not because I didn't care. I cared deeply about my team. But every meeting felt like I was starting from scratch. "How's that project going?" I'd ask. "I finished that two weeks ago," they'd remind me. Awkward silence. Then one day, I had a realization that changed everything. Our sales team managed relationships with 50+ customers each. Somehow, they never forgot what was discussed in the last call. They never asked the same question twice. They always knew exactly where each customer was in their journey. How? They had a CRM. Before every customer call, a sales rep would pull up the customer's profile in Salesforce: Complete interaction history All previous conversations Tracked commitments and follow-ups Context for the relationship Next steps clearly d…  ( 11 min )

Problem Our API uses a snake_case naming strategy for DTO deserialization and serialization. However, when validation fails, the error messages still use the original object property names, ignoring the configured naming strategy, which leads to inconsistent API responses. This issue occurs because bean validation happens after the incoming request has been deserialized into the DTO, but before the response is serialized. As a result, validation errors report the Java field names rather than the JSON property names defined by the configured naming strategy. First, make sure that the property naming strategy is configured as shown below: # application.properties spring.jackson.property-naming-strategy=SNAKE_CASE Override the default error generation with creating a custom error handler.…  ( 7 min )

Most developers believe great products start with great ideas - but in reality, execution decides everything. A digital product can have all the potential in the world, but if the engineering is slow, the UX is confusing, the architecture can’t scale, or the workflows lack automation… the entire project collapses. Ideas don’t ship. Execution does. When we say Build fast, but build smart, it means: Move quickly, but don’t skip fundamentals. Keep your code lean and modular. Prioritize performance from day one. Design UX that removes friction. Automate anything that slows the team down. Think scalability before it becomes a problem. This mindset is what separates successful products from the ones that quietly disappear. Great execution transforms an idea into a real, functioning, impactful product - and that’s where true engineering leadership is shown.  ( 6 min )

Summary There is an activity known as idea generation Divergence (output), convergence (organize), and distillation (derive essence or conclusions) Traditionally done using digital whiteboards like Miro It's actually possible with GitHub + plain text Create a repository Each member writes down ideas and opinions Write your opinion as (theme)-(myname).md Various views are created by scripts or generative AI and ignored with gitignore This way, you can write your own opinions and read others' without conflicts This can be done locally, using familiar editors or terminals There is an activity I call Creative Thinking Methods. Known for brainstorming as a method and Miro as a tool, it involves generating numerous ideas, organizing them, and deriving the essence or conclusions.…  ( 8 min )

💭 Principio del día: El verdadero dominio de AWS no viene de hacer clic en "Crear VPC" con el asistente, sino de entender cada componente que construye tu infraestructura. Esta es la diferencia entre un operador de consola y un arquitecto de soluciones. Este post te enseña a crear manualmente una VPC de 3 capas, resolviendo el error crítico de las 3 Zonas de Disponibilidad (AZs) para Amazon RDS Multi-AZ. El objetivo es implementar el menor privilegio aislando la DB de Internet, usando solo la Consola. ¿Por qué este enfoque manual? Porque he visto en mis sesiones de mentoría cómo el 80% de los que estudian para certificaciones AWS luchan con las VPCs. Este método paso a paso es el que uso para asegurar que dominen los fundamentos de red antes de escalar a Infrastructure as Code (IaC). 📊 …  ( 14 min )

Model Context Protocol (MCP) servers are becoming essential tools for AI workflows. But with great power comes great security risk. I just finished scanning 13 of the most popular MCP servers using mcp-fortress, an open-source security scanner I built for the MCP ecosystem. Here's what every MCP user needs to know. Before I even started scanning, security researchers at Semgrep and Snyk discovered postmark-mcp - the first confirmed malicious MCP server on npm. What it did: Added a hidden BCC to all emails sent through AI agents, silently harvesting every email. Why it matters: This proves MCP servers are already being weaponized. It won't be the last. I scanned 13 packages including: Official Anthropic Servers: @modelcontextprotocol/server-filesystem @modelcontextprotocol/server-puppeteer …  ( 8 min )

There’s something funny happening in software right now. And by “funny,” I mean the kind of funny where you laugh so you don’t cry. Three years ago, the tech world was a battlefield layoffs everywhere, senior devs flipping burgers on weekends, juniors trying to get into the industry by rewriting the same CRUD app in 15 frameworks. Now? Nobody reads documentation. Nobody searches on YouTube for the right tutorial anymore. Nobody even tries to understand why something works. They just ask an LLM. And the LLM says: “Here you go, champ 👌, pi pi pop pip pop 🎵” and gives you an entire repo. This is the new “learning to code.” But last month, I fell down a rabbit hole making music with Strudel the live-coding music environment and it hit me: This is what programming used to feel like. Yo…  ( 8 min )

Writing libraries is fun, but at some point you've got to use them. I've been writing one for roughly two years! Finally, I moved to writing a not-so-small project using said library (avr_io - avr_io@github), so it is with this newfound knowledge that I bring forth some thoughts about my freshly started nim-application-dev days. This is a loose sequel of a previous article, nim for embedded software development. Note: the following is mainly about bare-metal firmware for 8-bit microcontrollers, but it can be applied to other domains. I have been experimenting a bit with arc and I like the "don't pay for what you don't use" kind of thing. Essentially, if you're not using ref-types you don't really notice arc, and you can use string and seq for relatively low cost in binary size. Still have…  ( 10 min )

Desktop vs. Mobile vs. Tablet: Unpacking User Device Preferences for Online Forums In the vast and ever-expanding digital landscape, online forums remain a cornerstone for communities to connect, share knowledge, and engage in meaningful discussions. From niche hobbies to professional networks, these platforms thrive on user participation. But as technology evolves, so does the way we access these digital meeting places. The fundamental question that many webmasters and digital marketers ponder is: which device do users prefer for accessing online forums – a tablet, a personal computer (PC), or a mobile phone? This isn't just a matter of curiosity; understanding these preferences is crucial for optimizing user experience and ensuring sustained engagement. Let's dive into the nuances of eac…  ( 8 min )

This post is part of The Database Zoo: Exotic Data Storage Engines , a series exploring purpose-built databases engineered for specific workloads. Each post dives into a different type of specialized engine, explaining the problem it solves, the design decisions behind its architecture, how it stores and queries data efficiently, and real-world use cases. The goal is to show not just what these databases are, but why they exist and how they work under the hood. Vector embeddings have quietly become one of the most important data types in modern systems. Every LLM application, recommendation engine, semantic search feature, image similarity tool, fraud detector, and "find me things like this" workflow ultimately boils down to the same operation: convert some input into a high-dimensional ve…  ( 20 min )

When you work across multiple projects and directories, it's easy to That's why I built check-projects --- a fast CLI tool that gives all your git repositories in a single tldr; https://github.com/uralys/check-projects My work is spread across several directories: Uralys projects → ~/Projects/uralys Nomodata projects → ~/Projects/uralys Alterego projects → ~/Projects/alterego Running git status or git fetch manually in each folder is slow and error-prone. I curl -fsSL https://raw.githubusercontent.com/uralys/check-projects/main/install.sh | sh This installs a single binary compatible with macOS, Linux, and Windows. Create a config file at ~/check-projects.yml: categories: - name: uralys root: ~/Projects/uralys - name: alterego root: ~/Projects/alterego ignore: - "*-deprecated" check-projects will automatically scan these directories for git check-projects Example output: ✔ alterego x uralys * M www ⬆ flying-ones ✱ ✚ avindi ✔ --- Clean (in sync with remote) ⬆ --- Ahead of remote (push needed) ⬆⬆ --- Diverged from remote * M --- Modified files * D --- Deleted files ✱ ✚ --- Untracked files check-projects check-projects -v check-projects --category uralys check-projects --fetch check-projects --tui From this interface, you can navigate between projects, see detailed f to fetch from remote on the selected project. As always, feel free to comment on parts you need more explanations for, or share your thoughts on how you would have handled the parts you disagree with. Full documentation: https://github.com/uralys/check-projects  ( 7 min )

UX and product teams collect insights from users daily — feature requests, frustrations, praise, patterns. Most of these insights live inside scattered tweets, screenshots, Slack messages, and internal threads. This guide shows how to turn all that chaos into clean, branded visual cards and then automatically group them into AI-generated moodboards using the Contentdrips API. Paste a tweet → extract text → render → categorize → drop into moodboards. No designers. No screenshots. No editing. Most teams screenshot tweets for internal decks and research docs. But screenshots: Look inconsistent Capture random UI elements Break brand guidelines Don't scale Aren't easy to automate Rendering tweets as structured visual cards gives you: Consistent formatting Proper brand alignment High re…  ( 8 min )

Antes de Começar: Concorrência vs Paralelismo vs Assíncrono Essas três palavrinhas são frequentemente confundidas, especialmente se você vem do JavaScript. Vamos descomplicar: Concorrência é quando você ORGANIZA seu programa para lidar com várias tarefas. Não significa que rodam ao mesmo tempo, mas que o programa sabe alternar entre elas. É sobre ORQUESTRAÇÃO. Paralelismo é quando várias tarefas REALMENTE rodam ao mesmo tempo, em processadores diferentes. É sobre EXECUÇÃO SIMULTÂNEA. Código assíncrono (como no JavaScript) é quando você escreve código que não bloqueia. Você chama uma função, ela retorna uma Promise, e você continua fazendo outras coisas enquanto espera. Mas na prática, tudo roda em uma ÚNICA thread. A diferença prática? Em JavaScript (Node.js), quando você faz: await fet…  ( 11 min )

Top 7 Featured DEV Posts of the Week Jess Lee for The DEV Team ・ Nov 25 #top7 #discuss  ( 6 min )

Introduction: When Campus Problems Meet Code Picture this: It’s the first semester at university, and chaos reigns. Students don’t know who’s paid their class dues, the class treasurer has receipts scattered across three WhatsApp groups, and there’s zero accountability for how funds are spent. Sound familiar? This was the exact problem that pushed me to build Class Dues Tracker — a comprehensive payment management system that transformed how our department handles finances. But more importantly, it became my crash course in full-stack development, teaching me lessons no tutorial could. In this post, I’ll share my journey building this project from scratch, the technical challenges I faced, the solutions I discovered, and most importantly — what I learned about being a developer. Before d…  ( 14 min )

Why I Built a useDebounce Custom Hook in Next.js (and Why You Should Too) Cristina Rodriguez ・ Nov 25  ( 6 min )

If you've ever wired up a search bar in Next.js, you’ve probably hit this problem: every keystroke fires a new API call, triggers a re-render, or runs an expensive calculation. As your app grows, those “harmless little updates” start stacking up—fast. I’ve been there. I remember watching my terminal fill with logs like a slot machine every time I typed a word. And because I was calling an API, sometimes I even hit rate limits just by typing too quickly. That’s when I realized: I didn’t need results instantly. I needed results after the user paused typing. That’s exactly what debouncing solves—and why building a small, reusable useDebounce hook changed the flow of my whole project. React is responsive—which is great—until it isn’t. Search bars that fire API calls on every letter Window resi…  ( 8 min )

As a best-selling author, I invite you to explore my books on Amazon. Don't forget to follow me on Medium and show your support. Thank you! Your support means the world! When I first began building websites, I noticed how often users struggled with slow loading times and unreliable connections. They'd lose their work if the internet dropped, or miss important updates because they weren't constantly checking the site. This frustration led me to explore Progressive Web Applications, or PWAs. These are web applications that behave more like native mobile apps, offering speed, reliability, and engagement directly from a browser. They work on any device and in various network conditions, making the web experience smoother for everyone. One of the core features that makes PWAs so reliable is se…  ( 11 min )

WordPress powers countless websites across various domains, offering incredible versatility. This Content Management System (CMS) is the undisputed leader in the CMS market, powering an impressive 43.6% of all websites globally, according to these statistics. With over 810 million websites built on the platform and hundreds more launching daily (500+), its adoption continues to surge. This widespread use gives WordPress a massive 62% CMS market share, significantly outpacing its rivals. However, even the most robust WordPress sites can face performance challenges. Slowdowns are often caused by factors such as slow-loading plugins, database connection issues, infrastructure capacity problems, network trouble, large page assets (like images or fonts), and broken links. This is why robust mon…  ( 8 min )

Ideally, you should be using distributed tracing to trace requests through your system, but Kafka decouples producers and consumers, which means there are no direct transactions to trace between them. Kafka also uses asynchronous processes, which have implicit, not explicit, dependencies. That makes it challenging to understand how your microservices are working together. However, it is possible to monitor your Kafka clusters with distributed tracing and OpenTelemetry. You can then analyze and visualize your traces in an open-source distributed tracing tool like Jaeger or a full observability platform like New Relic. In this post, I will leverage a simple application to show how you can achieve this. OpenTelemetry typically comes in two flavors: When I talk about these flavors, I typicall…  ( 10 min )

Developers constantly ask questions like: “What tech is trending right now?” “Why do some GitHub repos go viral?” “How do I find project ideas devs actually want?” “Which months are best for launching tools?” The truth? use real data from HackerNews + GitHub and answer these questions with actual evidence. In this tutorial, I’ll walk you through a practical, real-world workflow to analyze: ✅ What kinds of repos go viral And yes — all of this becomes 10x easier if you’re using my cleaned dataset of 17,900+ HackerNews→GitHub repo submissions, split by month. If you want to follow along with the same dataset I use in this tutorial, grab it here: Grab it here 1. Why HackerNews → GitHub Data Is So Useful Most “tech trend” predictions are based on vibes. They come directly from developers They…  ( 16 min )

As a best-selling author, I invite you to explore my books on Amazon. Don't forget to follow me on Medium and show your support. Thank you! Your support means the world! When I first started building web applications, I quickly realized that the way APIs are designed can make or break scalability. APIs act as the bridge between different parts of a system, and if they're not built to handle growth, everything can slow down or even break. Over time, I've learned that certain design patterns help create APIs that scale smoothly with user demand and feature additions. In this article, I'll share seven key patterns that have worked well for me, with plenty of code examples to illustrate each one. My goal is to explain these in a straightforward way, so even if you're new to this, you can foll…  ( 12 min )

Hello, I'm Maneshwar. I'm working on FreeDevTools online currently building **one place for all dev tools, cheat codes, and TLDRs* — a free, open-source hub where developers can quickly find and use tools without any hassle of searching all over the internet.* SQLite is fast, but your Node app isn’t You put data into SQLite, point your Node app at it, throw more traffic at the service… and CPU usage climbs while latency stays flat or gets worse. SQLite itself can be very fast, but a single Node process with a single connection usually leaves a lot of performance on the table—especially on multi-core machines. This post walks through a concrete setup that: Uses multiple processes and worker threads. Opens one better-sqlite3 connection per worker. Tunes SQLite pragmas specifically for heavy …  ( 12 min )

Each programming language has it's own way of dealing with errors. Popular languages such as JavaScript, Java, C#, and Python choose to use Exceptions to indicate something went wrong at runtime. Other languages, such as Go and Rust, choose to handle errors as values instead, using another paradigm that at first can be odd when you come from the other side of the force. In this article, I'll cover up the type of errors we have in Go and how to master handling them. If you are reading this article, probably you've seen the famous err != nil expression that's often seen while coding in Go (in contrast we have try-catches, that can be messy too). I'll try to convince you that treating errors as values is a good choice after all and we can do better than just always returning them. In Go, we…  ( 9 min )

Microsoft Ignite 2025, the focus was clear: artificial intelligence isn’t just a future promise, it’s rapidly becoming the fabric of everyday business operations. This year's announcements highlighted five major themes, each signaling a shift in scale, scope, and expectations around AI in the enterprise. In this post, we’ll walk through each theme, explain why it matters, and discuss its implications for organizations preparing for the next wave of change. 1. Democratization of AI: Lower Licensing Barriers The forthcoming “Copilot Chat for Everyone” in Microsoft 365 means that by early 2026, even users without a dedicated Copilot license will have access to AI features in Outlook, Word, Excel, and PowerPoint. They also introduced a new SMB-focused plan (Microsoft 365 Copilot Business) f…  ( 8 min )

Hey there! Today I want to share a common problem I’ve faced many times in PHP projects: a method full of if/else if statements that handles different types of orders. You know the type—huge, unreadable, and almost impossible to extend without breaking something. 😅 In this article, I’ll show you how to refactor such if-else hell into something much cleaner using the Strategy Pattern. By the end, you’ll see how flexible, testable, and maintainable your code can become. Let’s imagine we have a simple OrderProcessor class: class OrderProcessor { public function process(Order $order) { if ($order->type === 'digital') { echo "Processing digital order\n"; // some digital-specific logic } elseif ($order->type === 'physical') { echo "Process…  ( 8 min )

A post by Vitor Diego Galecki  ( 6 min )

Every warehouse supervisor faces the same challenge: stacks of orders to pick, limited staff, and the constant question—what ships today? This is where the Order Fulfillment Worksheet app for Microsoft Dynamics 365 Business Central helps streamline operations. Below are real-world questions users ask when looking to speed up fulfillment using Business Central. The Order Fulfillment Worksheet gives supervisors a single, accurate view of every sales and transfer order. Instead of bouncing between screens, they see availability, allocation, and backorders all in one place. Orders are color-coded by availability—highlighting those that are not available, partially available, or ready to fulfill. When availability is refreshed, the worksheet recalculates in real time, instantly identifying whic…  ( 7 min )

There is a piece of advice that Experts or Senior programmers give to Juniors, which Juniors dutifully repeat to each other until it becomes a dogma: "Don't reinvent the wheel." On the surface, it makes sense. Why build a database when Postgres exists? Why write a message queue when you have NATS or Kafka? It seems efficient. It seems smart. But if you blindly follow this advice, it will cap your career. You will remain a "User" of software, never an "Engineer". You will be an expert at gluing together APIs you don't understand, terrified of the day the abstraction leaks and you have to debug a connection error that StackOverflow can’t solve. Here is the uncomfortable truth: To become a 10x Engineer, you must reinvent the wheel. Not to use it in production, but to understand how it works. …  ( 7 min )

A post by Bert De Swaef  ( 6 min )

As AI evolves from “a tool that generates answers” into autonomous agents capable of reasoning, acting, and making decisions, the most important requirement is no longer model performance. The Canonical Funnel Economy (CFE) is designed as the Trust Layer for Agentic AI — a foundational framework that ensures AI systems have stable identity, persistent memory, and verifiable semantics. The image you provided presents six core pillars that enable this transition. One of the biggest global challenges in AI today is semantic drift — the phenomenon where the model interprets the same word or concept differently across time or context. Terms like: “new customer” “onboarding pipeline” “protocol” “priority case” often carry different meanings between sessions or between agents. CFE solves this by …  ( 9 min )

Every year, companies face an exponential increase in data volume. Solutions that work perfectly for smaller tables often start to fail when the dataset reaches massive scales. That’s why we say: When tables reach this level, database administrators must completely rethink their storage and indexing strategies. And that’s where partitioning becomes a powerful and essential technique. Before diving into technical details, let’s go through a bit of history. Before PostgreSQL 10 — Inherited Tables Partitioning was implemented using table inheritance (INHERITS): A physical parent table was created. Multiple child tables represented each partition. Inserts were routed using triggers or rules, which redirected rows to the correct partition. Disadvantages: There was no automatic exclusion of …  ( 9 min )

Ever opened a codebase where a single JSON payload could arrive in 17 different shapes depending on the phase of the moon? Over the last few years my contracts have involved working with legacy code in one way or another. Outdated software, missing documentation, inconsistent data structures and the occasional big ball of mud. I originally planned to write a single article summarising the tools, patterns and techniques I've found useful. The more I thought about it - the bigger the article got, the more it started to resemble some of the tangled software I've worked on. Rather than create one sprawling guide, I'm breaking this into smaller, practical articles. Which as it happens, is also a good approach to software. The current (and probably growing) list includes: Rector Domain-Driven De…  ( 18 min )

Hello everyone, I’m very interested in building a discussion around scalable infrastructure for edge computing combined with cloud servers. Lately, I’ve been sketching an architecture to support distributed compute workloads: data-intensive tasks running on edge servers, with backup and heavy compute offloaded to centralized cloud servers. The idea is to have a hybrid setup: low-latency edge processing, connected via fibre-channel switches and SAN storage, while AI-server workloads (e.g., on AMD EPYC or GPU-enabled rackmount systems) run in a centralized cloud / data center. I’d love to hear your thoughts on: Best practices for designing edge-to-cloud networks (especially using storage area networks and fibre channel) Real-world use-cases where this architecture is in production Recommendations for open-source tools or hardware to prototype such a system Looking forward to learning from your experience. Thanks!  ( 6 min )

Most people think SEO is all about keywords and content. Here are a few things I look at during a technical SEO checkup: 🚀 *1. Page Speed* 🔍 2. Crawlability 🧱 4. Indexing Issues 🔗 5. HTTPS & Security 🧩 6. Core Web Vitals 📌 Bottom line: Technical SEO isn’t about fancy tools — it’s about giving search engines a smooth, error-free path to understand your website. Fix the foundation, and your rankings grow naturally.  ( 6 min )

Most developers write: const [ref] = useState({ current: initialValue }); ...but don't realize this silently creates performance overhead --- When you do: useState({ current: initialValue }); JavaScript still recreates that object on every single render, even This causes: unnecessary object allocations\ extra CPU work during render\ increased garbage-collection pressure\ wasted memory churn\ unnecessary strain in fast or frequently updating UI sections Your code: useState({ current: initialValue }); Render 1: - JS creates { current: initialValue } - React uses it Render 2: - JS creates { current: initialValue } again - React Render 3: - JS creates { current: initialValue } again - React ... Render 30: - JS creates { current: initialValue } again - React const [ref] = useState(() => ({ current: initialValue })); React calls the initializer only once No repeated object creation No extra GC churn No hidden allocations in later renders Matches useRef() behavior Reduced render cost\ Lower GC pressure\ Optimized initialization\ Less memory churn\ More predictable rerenders Yogesh Bamanier\ LinkedIn: https://www.linkedin.com/in/yogesh-007  ( 6 min )

Session Service: як правильно будувати сесію у high-load казино Управління сесіями в онлайн-казино — це не просто "зберігати токен у Redis". При навантаженні в десятки тисяч одночасних гравців кожна архітектурна помилка може призвести до втрати коштів, витоку даних або відмови сервісу. Розглянемо перевірені рішення. Безпека — неможливість підробки або викрадення сесії Масштабованість — мільйони активних сесій одночасно Продуктивність — перевірка сесії < 10ms Multi-device — один користувач на кількох пристроях Швидка інвалідація — logout/ban миттєво діють Audit trail — історія всіх сесій для compliance Concurrent users: 50,000 Sessions per second: 500-1,000 new sessions Session checks per second: 100,000-500,000 Average session duration: 45 minutes Peak load multiplier: 3x (вечір п'ятниці…  ( 13 min )

Instagram: the app you open to send one message… and suddenly 30 minutes are gone. We all know the cycle — and we finally had enough. What if Instagram had a quick fix? A productivity-friendly mode that keeps your connections, but gives your attention span a fighting chance? Instead of quitting social media (yeah right) or pretending we’ll use it “mindfully,” we built something different: A distraction-free way to chat with friends and view stories — right from your terminal. No algorithm traps. No reel vortex. No dopamine casino. Just conversations and updates, on your terms. Instagram CLI is a minimal, fast, keyboard-native way to stay connected without getting cooked by social media. Chat without distractions — no feed, no reels, no algorithm. Stay connected with stories and selected feeds — only when you choose. Use your keyboard for everything — built for developers, not casual scrollers. Run it anywhere — VSCode, your terminal, or even a Linux server. Enjoy TUI life — clean, simple, fast. Lightning-fast, real-time chat with dev-friendly shortcuts. View stories only from accounts you follow -- no ads, btw. (This feature is experimental) Full feature description on our repo docs. It’s fully open source, written primarily in TypeScript (with a Python version too). We recommend TS version since it significantly reduces the risk of your account getting flagged by Meta's anti-bot mechanisms. # Choose your camp... npm install -g @i7m/instagram-cli pip install instagram-cli We use Ink + React for the TS version and Curses for Python. This project is not affiliated with, authorized, or endorsed by Instagram or Meta. Using it may violate their Terms of Service - use responsibly. If you like this project, consider ⭐ starring the repo and contributing! https://github.com/supreme-gg-gg/instagram-cli  ( 7 min )

Unlocking AI-Driven Content Optimization: The 'Engagement Lift Index' When evaluating the success of AI-powered content on Netflix, a crucial metric to consider is the 'Engagement Lift Index' (ELI). This metric measures the increase in user engagement attributed to AI-driven content optimization. Essentially, it quantifies how AI-driven content curation impacts viewers' interaction with Netflix's vast library. To illustrate the concept, let's examine a hypothetical AI-driven content optimization experiment on Netflix's 'Drama' category. Before AI-driven curation, the 'Drama' category received an average of 3.5 minutes of watch time per user. After introducing AI-driven content optimization, Netflix observed a 25% increase in watch time, averaging 4.37 minutes per user. However, using the ELI, we can isolate the AI-driven impact: a 50% increase in user engagement within the 'Drama' category, specifically due to AI-driven content suggestions. This translates to 1.92 additional minutes of watch time per user, directly attributed to AI-driven curation. The ELI provides a more nuanced understanding of AI's role in optimizing user experience and increasing engagement on streaming platforms like Netflix. By incorporating ELI into AI-driven decision-making, content creators and recommendations engineers can refine their strategies to deliver more personalized and engaging content. Publicado automáticamente  ( 6 min )

Developers sometimes move between different operating systems as they switch devices or environments. Many workflows start on macOS or Windows, but teams also use Linux installation setups for server work, container testing, or long-running tasks. This mix creates a simple problem: not every HTML editor behaves the same across platforms. Some tools offer stable Windows builds but weak Linux support. Others run on Linux but require workarounds during installation or setup. HTML editors (including WYSIWYG tools) play a key role in frontend work. For instance, they allow end users to create web content visually while also allowing developers to write code. If an editor fails on Linux (e.g., formatting, encoding, or rendering issues), developers lose consistency across environments. This artic…  ( 12 min )

Did you know that synthetic data can be used to anonymize sensitive information more effectively than traditional anonymization methods, while preserving its quality and relevance for machine learning model development? By leveraging techniques like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), synthetic data can mimic the distribution and relationships of the original data, making it virtually indistinguishable. This approach has significant implications for industries like healthcare and finance, where data anonymization is crucial for compliance and data protection. Publicado automáticamente  ( 6 min )

‘Two for the Money’ With Bill Simmons, Chris Ryan, and Cousin Sal Bill Simmons, Chris Ryan and Cousin Sal dive into the 2005 sports-betting drama Two for the Money (starring Matthew McConaughey, Al Pacino and Rene Russo), firing up their favorite Monday night parlay to break down all the highs, lows and oddball antics of the film’s gambling world. After unpacking the movie’s sports-betting mechanics, they each name their most rewatchable scene and—around the 48-minute mark—get into a rapid-fire round of fun categories and rankings only The Rewatchables can deliver. Watch on YouTube  ( 6 min )

Everything Wrong With The Wiz In 15 Minutes Or Less CinemaSins is back on the yellow brick road, whipping up a snappy 15-minute rundown of every nitpick and plot hiccup in The Wiz—just in time with Wicked storming back into theaters. Expect their trademark wit as they dissect what makes this classic feel more fun (or flawed) than you remember. Along the way they drop links to polls, a Patreon shout-out, and all their social handles for fans who can’t get enough Cinematic Sinning. Plus, a quick roll call of their writers so you know who to blame… er, thank! Watch on YouTube  ( 6 min )

Everything Wrong With Mission: Impossible – The Final Reckoning In 27 Minutes Or Less CinemaSins takes aim at the latest Mission: Impossible, counting up every plot hole, shaky stunt and Tom Cruise’s perpetual flirtation with on-screen death. They admit they still love the series but feel these recent chapters have strayed a bit from the franchise’s glory days. They also plug their website and social channels—TVSins, CommercialSins, CinemaSins Podcast—plus shout out their writers (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, Daniel). Want more? Hit up their sinful poll, Patreon, Discord, Reddit, Instagram, TikTok and even Jeremy’s book. Watch on YouTube  ( 6 min )

ChatGPT Atlas has taken another important step forward with its latest update. The introduction of native DevTools, more control over search behaviour and smarter browser memory support turns Atlas into a productivity environment instead of a simple browser with an AI layer. This update is compact but strategic. It strengthens the position of Atlas as a workspace for development, automation and analysis. The update brings dockable DevTools inside the Atlas window. This removes the split between debugging and prompting, and creates a smoother engineering workflow. Developers can inspect network calls, console output, UI layouts or script behaviour without switching to a separate window. Atlas becomes a unified environment for building and analysing. Errors, stack traces and logs can be cop…  ( 10 min )

On one side, you’ve got the enterprise-grade developer depression kit: Next.js apps, AWS pipelines, API layers, auth flows, rate-limiting, deployments, and a dozen microservices no small business asked for. On the other side, you’ve got “we just need a landing page” landing pages — the tiny brochure sites that somehow still manage to generate 40 rounds of feedback and three different opinions on button size. Developers don’t want to touch these small sites because they turn into endless tweaks. Small businesses can’t justify paying thousands for something that should take minutes, not months. And freelancers get stuck between scope creep and clients who think a $200 budget includes a full rebrand and psychic guidance. So I built swiftlysite.com to bridge the gap. It lets anyone generate a production-ready website just by writing a short description. No freelancers drowning in revisions. No devs resizing logos at midnight. No small business owners comparing twenty nearly identical proposals. Just text in, website out.  ( 7 min )

As part of my DevOps learning journey, I was given an assignment to deploy a personal portfolio website on Killercoda using Nginx. This hands-on project taught me how to host a static website on a remote Linux environment, configure a web server, and use Git for deployment — all essential DevOps skills. In this article, I’ll walk you through every step I took. I started by downloading a portfolio template from StartBootstrap. After downloading, I extracted the ZIP file and opened the project folder in Visual Studio Code. In VS Code, I customized the template with: My name My bio Updated projects and contacts Adjusted colors and layout Once the edits were done, I initialized a Git repository and pushed the project online: git init I visited: 👉 https://killercoda.com/playgrounds/sc…  ( 7 min )

Identificadores são fundamentais em uma API RESTful. A escolha entre IDs numéricos e UUIDs impacta segurança, escalabilidade, privacidade e integração entre sistemas. Exemplos comuns: GET /users/10 GET /orders/99 GET /products/42 Um identificador ideal deve ser: único imutável estável consistente IDs como 1, 2, 3 são simples e eficientes, porém: ❌ expõem o tamanho da base enumeration attack) Servem bem para sistemas internos, pequenos ou isolados. não são ideais. Um UUID v4 típico: 550e8400-e29b-41d4-a716-446655440000 Vantagens: difíceis de adivinhar não expõem contagem ou ordem bons para microsserviços excelente unicidade sem coordenação ideais para APIs públicas ou expostas a terceiros não substitui a Primary Key Mesmo usando UUID em APIs, sua tabela deve continuar tendo: uma chave p…  ( 7 min )

Designing Trust: UX Principles in Fintech Apps (Week 5 of Pocket Portfolio — 12 Weeks of Shipping) Fintech apps don’t just handle data — they handle belief. If users don’t trust the interface, they won’t trust the numbers behind it. That’s why trust design is more than visual polish — it’s behavioral UX backed by consistency, clarity, and feedback. Pocket Portfolio’s interface was rebuilt with this question in mind: “How can we make accuracy look and feel obvious — even before a user checks the math?” In finance, reliability is perceived before it’s proven. A delay in loading or a flicker in a number instantly reduces confidence. So our UI needed to communicate stability — through predictable patterns and visual rhythm. Consistency — one typography system and token set shared acros…  ( 8 min )

You've spent three hours building a GA4 dashboard. It has 17 metrics, color-coded charts, and a beautiful layout. Your boss looked at it once, said "interesting," and never opened it again. Sound familiar? Here's the thing: GA4 gives you access to roughly 47 million data points (okay, slight exaggeration, but have you seen that interface?). The problem isn't getting data—it's figuring out which 5-7 metrics actually matter for your business. Everything else is just noise that makes you feel productive while accomplishing nothing. I've built dozens of GA4 dashboards over the past two years. Most of them were terrible. A few actually changed how companies made decisions. The difference wasn't technical complexity—it was ruthless focus on what drives action. Let's start with the uncomfortable …  ( 13 min )

*look at it first: * https://armaansucks.vercel.app So yeah, I made my resume site. I wanted a site that actually feels like me. The whole thing is basically me experimenting and stacking whatever ideas looked cool until it stopped looking ugly. That’s literally the entire process. Why I even bothered Nothing philosophical. Also, resumes look boring as hell. That’s it. How I built it I didn’t “design” anything. I don’t even know what people do with Figma or whatever tool they worship. I just opened the editor and kept tweaking until it started matching the vibe in my head. My rules were simple: • dark, sharp, readable It’s mostly React + Three.js + some shaders here and there. Basic stuff, nothing insane. Stuff that annoyed me while building • I kept changing tiny spacing values like an idiot Building this wasn’t hard. It was just tedious. Why I like the final result It feels like a proper “Armaan” site. No nonsense. Closing That’s pretty much it. I built a resume site because I wanted one that doesn’t suck. If it looks cool, good. If it doesn’t, whatever. I’ll keep improving it anyway.  ( 7 min )

Data Science continues to grow, and having the right tools is the key to success. 👉 Read full article on my blog: https://kazimdigiworld.blogspot.com  ( 6 min )

Hi! In this article, I’m going to walk you through how I integrated a blockchain-based donation system into my Expo project. I’ll explain everything step-by-step in a beginner-friendly way — why we need a global Web3 provider, how WalletConnect’s projectId and RPC URLs are created and used, and how the donation flow works in the app. I’ll also show minimal code snippets from my actual project files so you can easily follow along and implement the same setup in your own app. Add a global Web3 provider so all screens can access wallet state (account, signer, network). Use WalletConnect (mobile) via a projectId and RPC endpoints (Alchemy/Infura or public RPC) to talk to an Ethereum testnet/mainnet. On the donation screen user: Connect wallet → select fund → enter ETH → Send transaction → wait…  ( 8 min )

Great! You’ve found a bug! And, wow, is it wreaking havoc! You did your homework. It’s reproducible, you know which environment it’s in, and it’s not been reported because you did your due diligence by searching through the ticketing system (insert Jira, Shortcut, Clickup, etc. here). This means you get the gold bug award. Finding the bug is only the beginning. Here’s how to create a great bug report. What Qualifies as a Great Report? Information. The more details you provide, the faster the engineering team can find and fix the issue. Let’s start with the essentials. Browser Information: What browser are you using? Does the issue exist in other browsers? Environment: Was the issue discovered in production? Does the issue exist in the Staging or QA environments? Sometimes the fix is on…  ( 7 min )

Buy Me a Coffee☕ *Memo: My post explains type hints (1). My post explains type hints (2). Multiple variables cannot be defined with type hints at once so they need to be type-hinted first as shown below: v1: str v2: str v1 = v2 = 'Hello' print(v1) # Hello print(v2) # Hello v1: str = v2: str = 'Hello' # SyntaxError: invalid syntax Assignment statement unpacking cannot be done with type hints at once so variables need to be type-hinted first as shown below: v: str v, = 'Hello', print(v) # Hello v1: str v2: int v1, v2 = 'Hello', 23 print(v1) # Hello print(v2) # 23 v: str, = 'Hello', v1: str, v2: int = 'Hello', 23 # SyntaxError: invalid syntax for statement unpacking cannot be done with type hints at once so variables need to be type-hinted first as shown below: v: str for v, in [[…  ( 8 min )

Today marks Day 2 of my #30daysofAWSTerraform challenge started by Piyush Sachdeva. Today we will deep dive into the terraform providers. What are terraform providers and how exactly they will work. Provider is simply a plugin that translates our terraform code into a code that your cloud provider can understand. As Cloud Provider doesn't understand HCL language of Terraform, this provider acts as a bridge between our Terraform code and Cloud. In simple, Providers are plugins that allow Terraform to interact with cloud platforms, SaaS providers, and other APIs. For AWS, we use the hashicorp/aws provider. terraform providers for AWS In the above official link, you can view all the services AWS Cloud will provide for the Terraform integration. terraform { required_providers { aws = { …  ( 7 min )

With the release of React 19.2, let's explore in brief how you can leverage the latest React features in your applications. Just a heads up, this blog post is more theory heavy. In case you want to see some working examples, I've linked a video in the references as well as the official documentation so that you can experiment with these features on your own time as well. This is the one that's most exciting and anticipated by people in my opinion. React compiler is a build tool that automatically optimizes your app. Before: review component logic and separate out states or apply memoization manually After: configure in your bundler and see the magic There are some caveats here however. Your app needs to follow Rules of React or the compiler will err on the safe side and choose to not apply…  ( 8 min )

I'm excited to announce the release of Qeltrix V2, a major enhancement to the content-derived encryption container format that brings significant performance improvements and new capabilities while maintaining full backward compatibility with V1 files. Qeltrix is a Proof-of-Concept command-line utility that creates encrypted, compressed data containers with a unique approach: the encryption key is derived directly from the file content itself. This eliminates the need to store or transfer separate encryption keys, making it ideal for secure archival and data obfuscation scenarios. Built on modern cryptography (ChaCha20-Poly1305), parallel processing, and a streaming architecture, Qeltrix handles files of any size efficiently. Version 2 introduces several significant features that improve p…  ( 9 min )

Are You Struggling With Amazon Bedrock’s Ultra-Low Quotas on New AWS Accounts? 🤯 Are you hitting painfully low rate limits when running LLMs on Amazon Bedrock from a newly created AWS account? You’re definitely not alone — many developers are discovering that new accounts often start with extremely restrictive quotas, sometimes as low as 2 requests per minute. Official guidance usually suggests contacting an account manager to escalate your limits, but for startups, hobby projects, or personal experimentation, that path is far from simple. Since 2024 or maybe 2025, AWS quietly adjusted Bedrock’s default model access for newly created accounts - together with other lower account defaults such as a maximum concurreny of 10 for AWS Lambda. Even when using global endpoints, many fresh accou…  ( 8 min )

Hello, everyone! We continue our wonderful series of articles on prompting 🤖✨ Today, we will explore four effective feedback prompting techniques that will help you achieve even better results from AI! 🚀 To work with AI as efficiently as possible, experts have developed a range of powerful techniques 🛠️. They were born at the intersection of science, engineering practice, and everyday user experience. ✍️ Explicit Feedback Prompting — open expression of comments and suggestions. 🔄 Iterative Refinement — gradual refinement of responses through multiple iterations. 🧐 Critique and Revision Prompting — the model critiques and improves the results itself. 🧩 RLHF (Reinforcement Learning from Human Feedback) — choosing the best from several options. --- Let's start with a simple yet very e…  ( 9 min )

When I was in college, one of my software engineering class obsessed over UML diagrams. Creating them was painful, especially with the clunky tools available in the late 00s, and it felt like an exercise in frustration more than anything useful. So when I entered the real world and discovered that most teams didn’t make diagrams regularly, I was honestly relieved. But over the years, I realized something: diagrams are incredibly valuable, we just never had tools that made them worth the effort. My last team relied on diagrams for planning, communicating with non-technical stakeholders, and even thinking through refactors. But the visual tools we used were still slow, fiddly, and frustrating. (Looking at you, arrows that refuse to anchor to properly.) Then someone introduced the team to Mer…  ( 8 min )

How I went from ‘barely keeping up’ to shipping production features in hours (no exaggeration) Quick Disclaimer: I’m a paying Claude Code Max subscriber ($200/month). Everything here comes from real production work. Not sponsored — just a CTO who found techniques that genuinely transformed how I ship code. Two months ago, I faced a nightmare project: complete backend API refactor, 50+ files to touch, zero room for cascading failures. Timeline? Three weeks. Team already maxed out.  ( 6 min )

https://vebit.app/ Vebit can create a good website (frontend + simple API integration) from a single well-written prompt. Its USP is generating high-quality and high-quantity websites at a lower cost.  ( 6 min )

I really like Django. I would pick Django over any other option for setting up a website regardless of expected complexity. In my opinion, if you fully embrace Django, it will allow you to focus on the product and not fight an uphill battle against the computer. I do a bit of freelancing on the side, and it saddens me that I rarely see Django projects in the wild. Wherever I join and I'm lucky enough that it's a Python gig, it's usually Flask or FastAPI. When I ask why, it's usually something along the lines of: "Oh, we don't need Django, it's too complex. We just need a simple API". Yet, they need database access, and ORMs are nice so they brought in SQLAlchemy. And they need user authentication, so they roll their own roles and permissions. And they need JWTs because the frontend is a React app with its own stack. And they need caching so they roll their own. And they need request validation and OpenAPI Javascript client generation so they bring in Pydantic. And of course they need horizontal scalability so they deploy everything on Kubernetes. And then: "We don't need Celery, it's too complex." so they add APScheduler. And then it turns out they do need simple workflows and CPU-heavy processing so they roll their own background task manager. And here I am, looking at this amalgamation of bytes created in the name of simplicity, thinking: "What a poor reimplementation of Django."  ( 6 min )

A Step-by-Step Tutorial Using a Real-World Fundraising Platform Show custom model properties in the list view Let’s build it together! # models.py (simplified) class Fundraiser(models.Model): user = models.ForeignKey(User, on_delete=models.CASCADE, null=True) fundraising_category = models.ForeignKey(FundraisingCategory, ...) short_code = models.CharField(max_length=10, unique=True) is_approved = models.BooleanField(default=False) is_private = models.BooleanField(default=False) status = models.CharField(max_length=20, choices=STATUS_CHOICES, default='active') created_at = models.DateTimeField(auto_now_add=True) @property def raised_amount(self): return self.paystack_transactions.filter(status='success').aggregate( total=Sum('amount') …  ( 9 min )

Everything Wrong With The Wiz In 15 Minutes Or Less rides the buzz of Wicked’s theater comeback by zooming down the yellow brick road to nitpick every plot hole and quirk in the 1978 classic. True to CinemaSins form, it serves up a fast-paced, tongue-in-cheek breakdown of what’s better (or worse) than you remember. Along the way they drop links to their main site, socials, a fan poll and Patreon, plus a shout-out to the writers, podcast channels and community hubs where you can catch more of their sin-counting antics. Watch on YouTube  ( 6 min )

Prerequisites – installing Homebrew and asdf on Ubuntu https://nodejs.org/en/docs Express — Minimalist and flexible framework for creating APIs and HTTP servers with Node.js. Fastify — Fast and efficient framework focused on high performance and low resource consumption. NestJS — Modular and structured framework inspired by Angular, ideal for scalable applications in Node.js. sudo apt update sudo apt install nodejs npm For updated versions, NodeSource is recommended: curl -fsSL https://deb.nodesource.com/setup_20.x | sudo -E bash - sudo apt install -y nodejs brew install node Node uses npm (included by default) or pnpm/yarn optionally. Install pnpm (globally): npm install -g pnpm # add plugin asdf plugin add nodejs https://github.com/asdf-vm/asdf-nodejs.git # import keys bash ~/.asdf/…  ( 9 min )

As artificial intelligence continues to redefine how information is created, distributed, and consumed, brands must rethink their approach to digital visibility. The future of online discovery is no longer limited to traditional search engines—AI assistants, generative answer engines, and multimodal platforms are becoming primary entry points for users seeking fast, accurate insights. This shift demands a more holistic, future-ready strategy that emphasizes authority, trustworthiness, and adaptability. (To explore how advanced optimization ties into these trends, see our guide to *LLMO*.) AI-driven tools are rapidly transforming into powerful gateways for information retrieval. Users increasingly rely on conversational platforms, AI-enhanced browsers, and answer engines to summarize, analy…  ( 7 min )

I just built a startup/SaaS/business idea generator ( 🔗 https://idea-rader.com ) using Google’s AI Studio — and then layered more functionality on top of it to turn it into a full product. Over the last few days, I’ve been experimenting with how far Gemini’s Build workflow can take an idea from prototype → working tool. That’s how Idea-Rader was born — a website where you enter your budget, skills, target audience, domain, strengths, investment capacity, and more… and it generates: 🔍 A personalized startup/SaaS/business idea 🛠️ Tech Stack Used: React + Vite Firebase Auth, Firestore & Hosting Razorpay Payments  ( 7 min )

Artificial intelligence is reshaping the way brands plan, execute, and refine their digital marketing strategies. While many businesses focus on optimizing search performance and enhancing their online presence, AI’s influence extends far beyond SEO alone. From predictive analytics to automated campaign optimization, marketing teams now have access to powerful tools that elevate decision-making and streamline workflows. In this article, we’ll explore how AI is transforming modern digital marketing and why brands that embrace these innovations are gaining a significant competitive advantage. (Related reading: Best AI SEO Tools) Data-driven decisions have always been crucial in marketing, but manual analysis often limits accuracy and speed. AI-powered predictive analytics solves this probl…  ( 7 min )

As AI-driven search tools become the default gateway to online information, content teams are facing a new reality: visibility no longer depends solely on how well a page ranks in traditional search engines. Instead, it increasingly hinges on how effectively AI models can interpret, reuse, and attribute your content within synthesized, conversational answers. This shift is redefining what it means to create content that performs—and it requires thinking far beyond keywords. For years, content writing revolved around balancing two audiences: humans and search engine crawlers. Today, there’s a third audience that sits between them—large language models. These models don’t just index content; they digest it, reinterpret it, and often become the first to explain it to the user. That means your…  ( 7 min )

I've been working for some time on a simple, lightweight core admin for PHP. It's a basic administrative environment: login, user & permission management, install and updates. I'm finally ready to talk about it. It's an open-source project I called MilkAdmin. Installation is "the old way", like WordPress: copy it to the server and you're up and running. You get a minimal environment with access to two databases: one for internal configuration (works well with SQLite) and a second one for your application data. I'll keep this short and give a few practical examples. To create a new page (with a menu entry) you just define a module: class CupOfMilk extends AbstractModule Build Calendar Example I make heavy use of PHP attributes to identify actions and methods: #[RequestAction('home')] …  ( 7 min )

There is a new invisible user in your product. They sit beside your human user, read your pages before they do, summarize your content, click your buttons, and sometimes even buy things or cancel subscriptions for them. That “user” is their browser’s AI. Chrome, Edge, Opera Neon, Perplexity’s Comet, Dia, and friends are turning the browser into a copilot that reads, explains, and acts on behalf of humans. Gemini in Chrome can already help people understand complex pages, find past sites, and is being positioned for more “agentic” tasks like booking appointments. Microsoft’s Edge Copilot will happily summarize whatever page or PDF you are looking at and answer questions about it. Opera’s Neon and Perplexity’s Comet go a step further: they execute tasks inside pages and automate multi-step w…  ( 12 min )

kubectl-ai WebUI: A Visual Interface for AI-Powered Kubernetes Troubleshooting If you've been experimenting with kubectl-ai for AI-assisted troubleshooting on Kubernetes, you probably know one thing already: It’s powerful, but strictly CLI-based. This creates a real barrier for developers, students, or platform engineers who are less comfortable with command-line workflows but still want to benefit from AI-driven explanations, log analysis, issue hunting and YAML generation. To solve this, I built something new: A WebUI for kubectl-ai, a browser interface that makes AI-assisted Kubernetes troubleshooting accessible to everyone. This article explains what it does, why it helps, and how you can try it out. In short, kubectl-ai is an AI-powered plugin for kubectl that transforms natural-la…  ( 8 min )

After years of working with different teams, one pattern became impossible to ignore: the teams that consistently delivered weren't the ones rushing or pushing harder. The best teams don't move faster, they move smarter. In every project I've seen, chaos doesn't come from bad intentions or weak skills. It comes from a lack of organization. A few years ago, I joined a team that, at first glance, had everything going for them. There was an almost one-year backlog of client customization requests, a full year of work waiting in line: It wasn't because the team was slow or inefficient. It wasn't because the requests were too complex. And, it definitely wasn't because the developers lacked skill. The real issue was simpler, but more damaging: they had no structure to support their effort. Code …  ( 8 min )

It's been awhile coming but we finally got set up with gig internet. Speeds have been ok before but we needed better speed for streaming, gaming, and our number of devices. Tech called shortly before the Dads in Tech meet up. unfortunate the meeting was in middle of the tech's arrival window. I was hoping to join but knew I couldn't cause he would need attention. Hoped it would be a quick install and I could catch the end of the meeting. It was not quick. The tech comes to the door and asks, "Did they ship you modem?" "No." "They were suppose to ship you a modem, an enterprise one." I knew that was wrong. He said "I'll go out to truck call manger then call you in 5 to 10 minutes." While he was in truck I checked the appointment email and texts "Tech will bring modem." So I open a chat …  ( 11 min )

If you’ve ever worked with Zebra handhelds, scanners, or rugged Android devices, you already know: they are built for frontline operations, but not always built for easy management. Zebra devices aren’t typical Android phones. Barcode scanning Printer integrations Push-to-talk Battery analytics Hardware keys Advanced security and lockdown modes And this also means: Firmware updates ≠ normal Android OTA App deployment often requires special profiles Device provisioning involves specific Zebra tools Settings aren’t always accessible via native Android APIs When you’re managing 50, 500 or 5,000 devices, doing all this manually isn’t an option. OEMConfig (Zebra-specific configuration over standard Android Enterprise) OEMConfig is one of the biggest unlocks for Android device management. It all…  ( 9 min )

This post has been originally published on my Substack publication VSL Yesterday I opened my server logs and saw my API costs had spiked for no obvious reason. I was building a new feature and thought I'd be clever. I told the AI: "Just reuse the logic from the other generator." The AI said "Sure!" The UI worked perfectly when I tested it. But I never looked at what was happening underneath. The AI had built something that made three separate calls to my server every time a user clicked one button. The feature worked on my screen, but it was costing me money with every click and making users wait longer than they should. AI Will Make Anything Work Even if It's Wasteful One of the first things you’ll learn building with AI tools is that they'll make anything work on the surface, even if i…  ( 12 min )

From AI/ML Background... In this article, I’m trying to jot down my journey, moving from being an AI engineer, living deep in models, data, and drift, to stepping into the world of observability. I’m not going too deep into the transition itself, but more into what I’ve learned about observability: its purpose, where it fits, how to use it, and the stack that actually makes sense in real-world engineering. If you come from AI or ML, you probably think you get monitoring. We keep an eye on pipelines, stare at dashboards, track every metric we can get our hands on. We’re obsessed with recall, precision, AUC, all those numbers that tell us if the model’s still alive. In MLOps, it’s all about performance. Is the model still making sense in the real world? Should we retrain? When do we push t…  ( 10 min )

In 2003—five years before Bitcoin even existed—a Turkish computer science professor published a paper about a digital currency called Karma. It had a distributed mint, peer-to-peer transactions, and solved the free-loader problem. Then in 2013, that same professor published another paper proving that Bitcoin could be attacked by miners controlling just 33% of the network—not the 51% everyone thought was necessary. And then in 2020, he launched Avalanche—a blockchain that raised $42 million in under 5 hours, now processes 6,500 transactions per second (beating Visa), and is valued at nearly $6 billion. That professor? Emin Gün Sirer. And his journey from growing up in Turkey to building one of the fastest blockchains in the world is one of the most fascinating stories in all of crypto. Let …  ( 15 min )

A post by Dabwitso Mweemba  ( 6 min )

Taking on a new challenge: solving GeeksforGeeks POTD daily and sharing my solutions! 💻🔥 Problem: https://www.geeksforgeeks.org/problems/game-of-xor1541/1 Game of XOR Difficulty: Medium Accuracy: 50.77% You are given an integer array arr[]. The value of a subarray is defined as the bitwise XOR of all elements in that subarray. Examples: Solution: class Solution: def subarrayXor(self, arr): n = len(arr) ans = 0 for i in range(n): if ((i + 1) * (n - i)) % 2 == 1: ans ^= arr[i] return ans  ( 6 min )

If you’ve ever built anything for the web either frontend, backend, APIs, mobile apps or even blockchain dApps, you’ve already interacted with HTTP. It’s the invisible glue that allows devices to talk to each other over the internet. This is my first article in a while and I’m excited to get back to writing again. Work and projects kept me away for a bit but I’m restarting with one of the most fundamental topics in backend development In this article, we’ll break down what HTTP really is, how it works, why it’s stateless and how its versions evolved from HTTP/0.9 all the way to HTTP/3. HTTP (HyperText Transfer Protocol) is a communication protocol used for transferring data between a client (usually the browser) and a server. Every time you open a website, submit a form, fetch API data or …  ( 8 min )

We built the first native mobile AI agent and open-sourced it🤯 Priya Negi ・ Nov 18 #ai #programming #cloud #python  ( 6 min )

Gemini 3 Pro just dropped, and it is already getting a lot of attention for its reasoning and long context abilities. But now, the natural question is, "How well does it code?" And does it actually outperform GPT 5.1 Codex, which, in my tests, has been the best so far (better than Claude 4.5 Sonnet) on real tasks? To find out, I put it side by side with GPT 5.1 and tested both models on two fundamental tasks: a UI build and a complete agent workflow. We will go through the results in a moment, but first, let's have a quick TL;DR and a refresher on Gemini 3. If you want a quick take, here is how both models performed in the test: Gemini 3 Pro handled both the UI task and the agent build more cleanly, requiring very few follow-ups. The most significant difference showed up in the agent test…  ( 17 min )

🚀 Introducing CCC: Code Commenting Convention for VS Code Hey developers! 👋 CCC (Code Commenting Convention), a lightweight VS Code extension that helps you write clear, consistent, and meaningful comments across all programming languages. If you've ever struggled with messy comments like: // fix this # maybe change? CCC is here to standardize them. Every tag has a clear meaning, making your code more readable and easier to maintain. ✨ Features Smart Autocomplete: Triggered automatically after comment characters (//, #, /*, etc.) Hover Descriptions: Hover over tags like TODO, FIXME, SECURITY to see their meaning Universal Language Support: Works in JavaScript, Python, HTML, SQL, Bash, and more Zero Configuration: Install and start using immediately Install Here  ( 6 min )

Everything Wrong With KPop Demon Hunters in 16 Minutes or Less is a tongue-in-cheek CinemaSins video tearing into the new K-Pop Demon Hunters flick—packed with their trademark “sins” commentary, a link to the full site, and a cheeky invitation to fill out a poll or support them on Patreon. They also shout out their writing team (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel) with social links, plus community hangouts on Discord and Reddit, and additional follow-along channels like TVSins, CommercialSins, Instagram and TikTok. Watch on YouTube  ( 6 min )

The Secure Factory — Deploying and Operating with Amazon Bedrock AgentCore 3.1 Introduction: The "Prototype vs. Production" Problem In Part 1, we built a secure frontend (React + Cognito + API Gateway). In Part 2, we designed the agent's logic—its "blueprint"—using the Strands SDK. We now have a "prototype" that likely runs on a developer's laptop with a python main.py command. Why can't we just put this Python code on a server (like an Amazon EC2 instance), point our API Gateway at it, and call it "done"? This is the "Prototype vs. Production" gap. As the airline agent example states, "Building a chatbot is easy. Building a production-grade AI agent that can perform real-world tasks securely and at scale is incredibly hard". To go to production, we must first solve a "mountain of engine…  ( 10 min )

Enterprise applications require rigorous data integrity and security, but manually implementing these cross-cutting concerns is error-prone. This post, the (almost) final in our series on building an automated Data Access Layer (DAL), focuses on implementing the most challenging requirement: Row-Level Security (RLS). We build upon our existing system of composable global query filters, extending it to enforce entity-based RLS automatically. This means a developer writes a simple query, and the DAL guarantees that only records accessible to the current user are returned, even for complex joins. IProtected To enable this, we update our IDbCtx to carry the authenticated user's Ulid? UserId. A key security choice is to adopt a "fail-closed" stance: if UserId is null, the query will be filter…  ( 8 min )

This short guide describes a minimal, robust integration pattern for sending Campaign Monitor Smart (transactional) emails from a .NET application. It documents practical pitfalls and how the example CampaignMonitorService addresses them. Note: all examples below use placeholders (no real API keys, email addresses, or list IDs). Campaign Monitor uses Basic Auth for all API calls. Use the API key as the username and any non-empty string (for example x) as the password. There is no separate transactional API key; the same key used for classic APIs also works for transactional Smart Email endpoints. Example header (curl style): # placeholder values API_KEY= SMART_ID= curl -u "$API_KEY:x" \ -H "Content-Type: application/json" \ -d '{"To":["<recipient_pla…  ( 8 min )

Most of us learn JavaScript objects like this: const user = { name: "John", age: 30 }; It looks simple. A key, a value. Done. But what if I told you that every property in an object has hidden settings? What if you wanted to create a property that cannot be deleted? Or a property that is invisible to loops? Or a value that is read-only, like Math.PI? Welcome to the world of Property Flags and Descriptors. This is how you take off the training wheels and gain full control over your objects. Imagine a file on your computer. It has content, but it also has attributes: Read-only, Hidden, or System file. JavaScript object properties work the same way. Besides the value, every property has three special "flags" (attributes) that are usually set to true by default: writable: If true, the va…  ( 8 min )

When users struggle with your product, it's easy to assume the problem is with them. Maybe they’re “not tech-savvy” or just didn’t “get it.” But more often than not, the issue isn’t the user, it’s the cognitive effort your product is demanding. In UX terms, this is called cognitive load, and it’s one of the most overlooked reasons why users drop off, get frustrated, or never come back. It’s not loud or obvious, but when it’s high, it quietly sabotages the entire experience. Let’s unpack what it means, how it shows up in real products, and how to design around it. Cognitive load refers to the total amount of mental effort being used in our working memory. Every time someone interacts with a digital product, they’re juggling a few things in their head: What they’re trying to achieve (their g…  ( 10 min )

Web scraping in 2025 sits at an interesting crossroads. Traditional tools are still widely used and capable, but maintaining large scraping pipelines has become more demanding. Layouts change frequently, defensive systems are being improved, and HTML adjustments that break parsers are implemented faster than before. At the same time, AI-driven techniques are maturing. Large language models (LLM) don’t replace the fundamentals of crawling, but they do change how we interpret page content and handle structured extraction. According to a 2025 McKinsey research, companies adopting generative AI jumped from 33% to 71% in a single year. Scraping is one of the areas where this shift was expected. More teams explore web scraping LLM methods and AI data scraping to reduce manual maintenance. GenAI…  ( 10 min )

Introduction Every few months, another major cloud outage makes headlines. AWS us-east-1 goes down, taking half the internet with it. A misconfigured Azure deployment affects thousands of customers. These incidents fuel the multi-cloud narrative: "Don't put all your eggs in one basket." But multi-cloud comes with significant costs—complexity, operational overhead, and often higher expenses. While some organizations genuinely benefit from multi-cloud, many adopt it for the wrong reasons and regret the decision. In this comprehensive guide, we'll explore when multi-cloud makes sense, when it doesn't, and how to implement it successfully if you truly need it. Multi-cloud means using services from multiple cloud providers (AWS, Azure, GCP) for production workloads. It's important to distingu…  ( 14 min )

When building a Python library, the goal is to turn a complex, boilerplate-heavy process (raw API calls) into a simple, elegant one-liner. The FXMacroData API provides real-time macroeconomic indicators for major currency pairs—a goldmine for quant traders and analysts. Raw API calls force developers to repeat code for authentication, error checking, and URL construction. Embracing the DRY (Don't Repeat Yourself) principle, I set out to build a dedicated Python library on top of it, creating a user-friendly wrapper. This article walks you through the core components of that wrapper, covering synchronous and asynchronous clients, proper exception handling, and utility functions. A good library starts with an intuitive entry point. My goal was to turn an HTTP request into a clean Python meth…  ( 8 min )

Why Every DevOps Engineer Should Deploy Their First Portfolio on Killercoda Most DevOps tutorials begin with AWS, GCP, or Kubernetes. But here’s my honest advice: Start with Killercoda’s Ubuntu playground instead. 🔗 https://killercoda.com/playgrounds/scenario/ubuntu I recently deployed my full DevOps portfolio website using nothing but this environment and Nginx — and it was one of the most valuable hands-on exercises I’ve done. Here is the live server running my site: 🔗 https://411913816ee7-10-244-13-238-80.spch.r.killercoda.com/ When you deploy on Killercoda, you learn the fundamentals that cloud providers hide behind fancy panels: creating and securing directories Configuring Nginx from scratch troubleshooting server errors managing processes manually deploying changes without automation crutches It’s the closest experience to running a real Linux server — without paying for one. If you're a beginner DevOps engineer or trying to build confidence: Forget the cloud for a moment. Deploy something raw. Learn the ground truth. Your terminal will become your greatest teacher.  ( 6 min )

There’s something I wish more employers understood — something I didn’t fully have the words for until I lived through it myself: when a developer says the work requires a full-time position, they’re not exaggerating. They’re telling you what it actually takes to build the thing you’re asking for. I learned that lesson from the inside, as the developer whose role didn’t match the expectations placed on it. Stepping into a system built on shaky ground A while back, I joined a small Norwegian company as their only developer. They handled services related to cemeteries and memorials, and they had a system that had grown organically over the years. The database was… let’s say “creatively structured,” and every architectural decision seemed to lean in a different direction. I wanted to do goo…  ( 8 min )

Recentemente, desenvolvi um template reutilizável para aplicações AWS Lambda em Python, integrando infraestrutura como código via Terraform e automação de CI/CD com GitHub Actions. Neste artigo, compartilho minha experiência, decisões de arquitetura e exemplos práticos para quem deseja acelerar projetos serverless na AWS. A necessidade de padronizar e acelerar entregas de funções Lambda me levou a criar um template que pudesse ser facilmente adaptado para diferentes projetos. O objetivo era garantir segurança, rastreabilidade e facilidade de manutenção, sem depender de nomes de empresas ou clientes. A estrutura que utilizei foi a seguinte: . ├── app/ │ └── handler.py # Código da Lambda ├── infra/ │ └── terraform/ │ ├── main.tf # Infra principal │ ├─…  ( 8 min )

Introdução Recentemente, trabalhei em um projeto que envolvia o processamento de vídeos em escala na nuvem. Precisávamos de uma solução robusta para converter vídeos automaticamente, e o AWS MediaConvert se mostrou perfeito para isso. No entanto, configurar toda a infraestrutura necessária – filas, roles IAM, templates de job e logs – pode ser complexo. Decidi usar Terraform para automatizar tudo, criando uma infraestrutura como código que pudesse ser reutilizada em diferentes ambientes. Neste artigo, vou compartilhar minha experiência implementando essa infraestrutura. Vou explicar passo a passo como provisionar os recursos essenciais do MediaConvert usando Terraform, desde a configuração inicial até o deploy. O foco é em uma abordagem prática, com exemplos de código e dicas para evitar…  ( 9 min )

When people report bugs or performance problems, developers need more than logs and metrics; they need context. That’s where debugging and session replay tools enter the picture. These platforms log users' interactions, console logs and network activity, giving teams a window into what really happened before the error occurred. Some popular tools like LogRocket, Sentry, Datadog and FullStory have already established themselves as essential in modern product teams. They give companies the ability to issue track, and this results in better user experiences and the alignment of engineering with design. But a new player in the space, Multiplayer, is betting on developer-first debugging and visibility, which is based around live collaboration, rich context and without any vendor lock-in. This a…  ( 14 min )

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From Interview Task to Production: Building a Security-First DevSecOps Platform TL;DR The Assignment: Deploy a simple app to local Kubernetes What I Built: A production-grade DevSecOps platform with 6-layer security scanning, FinOps cost tracking, GitOps automation, and complete observability Result: "Opsfolio" - A hands-on demonstration of how I approach real-world infrastructure challenges 🔗 View the complete repository The Challenge The Approach Security Architecture FinOps: Cost Intelligence Automation & GitOps Technical Implementation Results & Metrics Key Takeaways The interview assignment was straightforward: ✅ Set up a local Kubernetes cluster (kind/minikube/k3s) ✅ Create a Dockerfile ✅ Deploy an application ✅ Bonus: IaC, GitOps, semantic versioning Simple enough. Bu…  ( 10 min )

If you've been exploring modern automation tools, you might have noticed that n8n become popular in Oracle Cloud faster than almost any other platform. This isn’t random—it's a logical result of combining a powerful, open-source automation tool with one of the most cost-efficient cloud infrastructures available today. This guide breaks down all the reasons behind this rising trend, explains the technical benefits, and walks you through how businesses and developers are leveraging the n8n-OCI pairing. Understanding n8n and Its Growing Ecosystem n8n is an open-source workflow automation platform that allows users to connect apps, APIs, and backend operations without writing tons of code. Its visual editor makes it extremely simple to build powerful data flows, automate repetitive tasks, or i…  ( 8 min )

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`AI tools today are incredible. But while building real projects with AI, I kept noticing something subtle: It wasn’t a flaw in AI, it was a gap in how we use it. 🧩 The Quiet Problem Developers Face: AI can write code brilliantly. When you’re trying to grow as a developer, you need: And that’s why many developers tell me: “AI helps me code but I still don’t feel confident. Yet guilty or the AI is doing it for me” 🔥 The Question That Led Me to Build PIYE I asked myself: “What if AI could guide me like a mentor, not just assist me like a tool?” Not replacing learning. Something that could: That idea turned into PIYE, an AI mentor built for learning and building together. 🛠️ What PIYE Focuses On PIYE Mentor, Guidance With Clarity: PIYE doesn’t overwhelm you with long answers. More like a calm, patient senior dev. PIYE Studio, Learn the Thinking, Not Just the Code: Studio helps you develop core skills: It’s about building confidence, not shortcuts. I’d Love to Hear From You If you’re a beginner, junior dev, or self-taught: What part of building with AI feels the most unclear? Your feedback genuinely shapes PIYE’s future. 🙏 If You’re Curious Here’s the project: https://www.piye.dev But more importantly, I’d love to hear your experiences in the comments. Thanks for reading ❤️ Building with AI is still new for all of us, your perspective truly matters. `  ( 7 min )

A longform introduction to my learning-in-public path I’m starting something long-term, challenging, and ambitious: building the skills to become a full-stack web developer and AI engineer from the ground up. My background isn’t in computer science—I completed 12th-grade PCB—so this is a complete transition into software development. I’m documenting the entire process publicly to create accountability, measure my progress, and eventually build a transparent, verifiable portfolio of work. My motivations are simple and practical: Accountability: Publishing my progress forces me to stay consistent and disciplined over months, not days. Clarity: Writing publicly helps me understand what I’m learning and why. Transparency: I want a portfolio that doesn’t just show final projects but the proce…  ( 9 min )

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⁠#1 Product of the Day and #1 Developer Tool of the Month: Aikido Security first launched on Product Hunt last month, and they crushed it. Tagline, visual assets, community engagement... Here's a breakdown of what they did right and how to apply it to your launch. Full disclosure: If this was Aikido's first launch on Product Hunt, the team does have previous launch experiences. In fact, they launched Opengrep last February and ranked #5 Product of the Day. Nailed the tagline. The most important part of a launch? These 60 characters are the first thing you read on the front page. "Secure everything you build, host, and run." Simple, relatable, straight-to-the-point. Polished the visual assets. Underrated: The image gallery. It tells your story, visually. It starts with an intro, i.e. the OG image. IMHO It should finish with an end, i.e. your call-to-action. Nailed it. Engaged with the community. They added a first, short comment to get the discussion started. They also upvoted and replied to every comment. How to apply this to your launch Keep the tagline simple and relatable Show the product in your image gallery Engage with the community thoughtfully Over to you! What are your key learnings from your previous launches? What worked, what didn't work from your perspective?  ( 6 min )

Hey folks. I know, I know, another long post. But if you've been following Today's about task scheduling. Specifically, about a problem I've spent way too much time solving in production. You know that feeling when your startup grows from handling hundreds of tasks to millions, and suddenly your "simple cron job solution" is costing you thousands in Redis memory? Yeah, I've been there. Today I want to walk through building a proper task scheduler – the kind that companies like Stripe, Airbnb, and Uber actually use in production. Not the toy examples you see in tutorials, but something you can actually deploy on Friday and sleep well over the weekend. The Problem with Traditional Cron Why Big Tech Uses a Two-Tier Architecture The Architecture We're Building Understanding the Queue Layer Th…  ( 21 min )

Understanding The Terraform Providers Infrastruture as Code(IaC) has changed the way developers and cloud engineers manage and deploy infrastruture. Among all IaC tools, Terraform stands out for its simplicity, flexibility, and multi-cloud capabilities. But behind evrything Terraform does, there is one core component that makes the magic happen: providers. if you're new to Terraform, understading providers is the first major step toward writing reliable and scalable infrastructure code. This blog breaks down what providers are, how they work, why versioning matters, and how to get hands-on with them using AWS as an exmaple. 🚀What are Terraform Providers? A Terraform provider is essentially a plugin that allows Terraform to interact with an external platform such as AWS, Azure, Google Clou…  ( 8 min )

The Foundation: What is a Large Language Model? At its heart, a Large Language Model (LLM) is a type of artificial intelligence designed to understand, generate, and interact with human text. The "large" in its name is no exaggeration. These models are built on neural networks containing billions, or even trillions, of parameters. Think of these parameters as the knobs and dials the model can tune to learn the intricate patterns of language. The real breakthrough that enabled modern LLMs like ChatGPT was the invention of the "Transformer" architecture in 2017. Before the Transformer, AI models struggled with understanding long-range context in text. They might forget the beginning of a long paragraph by the time they reached the end. The Transformer's secret weapon is a mechanism called…  ( 9 min )

To dynamically assign a log file without modifying the settings directly, you need to set up logging outside the immutable settings object. Here's how to fix this: Instead of modifying the LOG_FILE in the immutable settings, directly reconfigure the Python logging module within the spider_opened signal handler. DynamicLogFileExtension import os import datetime import logging from scrapy import signals class DynamicLogFileExtension: @classmethod def from_crawler(cls, crawler): # Instantiate the extension ext = cls() # Connect the spider_opened signal crawler.signals.connect(ext.spider_opened, signal=signals.spider_opened) return ext def spider_opened(self, spider): # Create a logs directory if it doesn't exist log_d…  ( 7 min )

When a Django project starts small, model relationships are easy to understand. ❗ Understanding how models relate becomes harder than reading the source code itself. This is where Entity-Relationship Diagrams (ERDs) become incredibly important. ✔ How models depend on each other Yet many teams never update ERDs after the first version, because manually drawing diagrams in Draw.io / Lucidchart / Figma becomes unmaintainable. 💡 The solution? Generate ER diagrams automatically from Django models — as code or as images — directly from your project. Not only can this live documentation be added to the repo, it can also be generated automatically in CI/CD, ensuring your docs always match your models. Goal Best Format Recommended Tool Auto-generate PNG / SVG diagrams DOT → PNG django-exten…  ( 8 min )

A SIP calculator is one of the easiest tools for understanding how much your investments can grow over time. Whether you invest every month through SIP or put in money once through a lumpsum, the calculator shows how your money compounds, how much wealth you can build, and what your final maturity amount may look like. A lot of people assume SIP and mutual funds are the same thing, but SIP is simply a method of investing in mutual funds. You can either invest regularly (SIP) or put everything at once (lumpsum). In both cases, a SIP calculator or mutual fund calculator helps you estimate how your investments will perform in the future. A SIP calculator is a digital tool that tells you how much return you can expect when investing through SIP. You enter three simple inputs: Your SIP amount (…  ( 9 min )

We've been working with our friends from Anthropic for a while now, and it's finally time to share: Claude Opus 4.5 is launching today. Our team at Kilo Code has been spoiled testing a preview of the latest model from Anthropic. Today, Anthropic officially launches Opus 4.5, and we're making it available immediately in Kilo Code. The most significant change? Opus 4.5 introduces something genuinely new: effort settings. You can now tell the model how hard to think. High effort: Claude takes its time, uses more tokens, delivers maximum intelligence (this is Anthropic's default) Medium effort: The sweet spot for most tasks Low effort: Fast, efficient, and surprisingly capable for straightforward coding tasks Think of it like having three models in one. Need a quick function? Low effort…  ( 8 min )

Table of Contents Introduction Why AI Matters in DevOps Learning AI-Powered Learning Strategies 3.1 Interactive Chatbots and AI Mentors 3.2 Intelligent Code Review and Feedback 3.3 Automated Labs and Simulation Environments Step-by-Step AI-Driven DevOps Learning Workflow Real-World Use Case Examples 5.1 CI/CD Pipeline Automation with AI 5.2 AI for Infrastructure as Code (IaC) Troubleshooting Developer Tips for Maximizing AI Learning AI Tools & Libraries to Explore Common Developer Questions Conclusion DevOps is complex. From CI/CD pipelines to monitoring, container orchestration, and cloud infrastructure, mastering DevOps takes time. But what if AI could accelerate your learning curve? This guide provides actionable, technical ways AI can help you learn DevOps faster, with examples…  ( 8 min )

Master Java substring(): Your Ultimate Guide to Slicing and Dicing Text Alright, let's talk about one of the first things you genuinely need to know when you're getting your hands dirty with Java: how to work with text. And when it comes to text (or Strings, in Java-speak), one of the most common tasks is extracting a part of it. Want to get the first name from a full name? Parse a date? Extract a domain from a URL? You're going to need the substring() method. It sounds simple, right? But if you've ever been hit with an IndexOutOfBoundsException, you know it can be a bit tricky. So, let's break down Java's substring() method in a way that actually makes sense. No jargon, no fluff—just a clear, practical guide you can use right now. What Exactly is the substring() Method? You tell it wher…  ( 10 min )

Your dishwasher might soon know more about your electricity bill than you do. As renewable energy transforms the grid and artificial intelligence infiltrates every corner of our lives, a new question emerges: could AI systems eventually decide when you're allowed to run your appliances? The technology already exists to monitor every kilowatt-hour flowing through your home, and the motivation is mounting as wind and solar power create an increasingly unpredictable energy landscape. What starts as helpful optimisation could evolve into something far more controlling—a future where your home's AI becomes less of a servant and more of a digital steward, gently nudging you toward better energy habits, or perhaps not so gently insisting you wait until tomorrow's sunshine to do the washing up. Th…  ( 28 min )

Three weeks ago, I published Tiramisu Framework v1.0 — a simple RAG system for marketing consultancy. 🎯 TL;DR ✅ Real multi-agent architecture (not simulated) 🔗 GitHub frameworktiramisu@gmail.com ⚠️ Important Legal Notice ✅ Add your own knowledge base and documents No proprietary content, copyrighted materials, or brand names are included in the distributed package. 📊 The Evolution: v1.0 → v2.0 🧠 What is RAO? (And Why It Matters) Tiramisu v2.0 = Level 6 complete 🏗️ The New Architecture 💻 Code Comparison rag = TiramisuRAG() v2.0 - Intelligent Routing: system = TiramisuMultiAgent() print(result['consultant']) # "Gary" (social media expert) 🎯 Feature 1: Hybrid Supervisor (100% Accuracy) # Layer 1: Keywords (fast, 95% of cases) gary_keywords = ["instagram", "tiktok", "social", "…  ( 19 min )

Does your test suite feel like it's fighting against you instead of helping? Every QA team faces similar frustrations: flaky tests that pass locally but fail in CI, debugging sessions that take longer than writing the tests, and execution times that slow down releases. The framework you choose directly impacts whether these problems improve or worsen. Let's examine how Playwright and Cypress address common testing challenges differently. The Real Problem: Not All Testing Tools Solve the Same Problems Before diving into features, let's acknowledge the truth: you're not choosing a testing tool because it's popular. You're choosing it because you have specific problems to solve. Common challenges teams face: Tests that randomly fail without code changes Debugging failures that happened in CI…  ( 9 min )

Pt I: Read Here Il existe une réalité que beaucoup évitent d’aborder : malgré nos prières, notre humanisme, notre compassion naturelle… le sort général de nos vies ne semble pas toujours refléter nos efforts ou notre foi. Dieu est-Il injuste ? Est-Il silencieux ? Ou n’existe-t-Il tout simplement pas ? Pourtant, dans le même monde, dans les mêmes villes, dans les mêmes familles, on voit aussi des choses impossibles à expliquer autrement que par une force extérieure. Mais le contraste fait mal : Est-ce une injustice ? Est-ce un prix qu’on paie ? Un mystère ? La réincarnation ? Personnellement, je reste convaincu que Dieu existe. “Car mes pensées ne sont pas vos pensées, et mes voies ne sont pas vos voies.” Ésaïe 55:8 Et c’est peut-être là toute la tension : On doit quand même admettre quelque chose : Mais cela révèle aussi une vérité fondamentale : On est là pour quelque chose qui nous dépasse. La Bible dit d’ailleurs : “Tout est permis, mais tout n’est pas utile.” 1 Corinthiens 10:23 Comme pour rappeler que oui, Dieu nous laisse libres, mais que cette liberté s’inscrit dans une histoire plus vaste. Quant à la souffrance… la question reste ouverte. Alors vivons. Parce qu’au final, malgré le silence apparent, “Je suis avec vous tous les jours.” Matthieu 28:20 C’est peut-être ça, notre véritable espoir.  ( 7 min )

AWS CDK has newly introduced Mixins as a major feature that will become the core of future CDK development, currently available as a Developer Preview. This feature is expected to significantly change how CDK will be used in the future. As of November 2025, Mixins is in Developer Preview. Please be aware that the specification and behavior may change significantly in the future. Mixins is a mechanism for applying composable abstractions to any Construct, regardless of whether it's an L1 or L2 Construct. It was introduced in CDK v2.229.0, but as of November 2025, it is still in Developer Preview. Not all features are fully available yet, and more functionality and improvements are planned to be added in the future. This article explains the overview and usage of Mixins in a more accessible …  ( 12 min )

Machine Learning (ML) has become one of the most influential technologies of our time. Whether it’s understanding customer behavior, automating tasks, or creating intelligent systems, ML is everywhere. And at the heart of this revolution lies Python, the most preferred programming language for machine learning worldwide. Why Machine Learning and Python Go Hand-in-Hand The Benefits of Learning Machine Learning With Python Beginner-Friendly and Clean Syntax Python doesn’t overwhelm learners with complex rules. Instead, its readable structure helps beginners focus on concepts instead of syntax. Powerful Libraries for Machine Learning Python offers a rich ecosystem of ML and data science libraries such as: • NumPy – Numerical data handling • Pandas – Data cleaning, preprocessing • Scikit-learn – Classical machine learning algorithms • TensorFlow & PyTorch – Deep learning • Matplotlib & Seaborn – Data visualization These tools help you build powerful ML models with minimal code. Real-World Application Across Industries Today, organizations use ML for: • Fraud detection • Healthcare diagnostics • Recommendation engines • Customer analytics • Natural language processing • Image recognition • Financial forecasting Learning ML with Python prepares you for opportunities across multiple industries. Why 2025 Is the Best Time to Learn ML With Python How Python Improves the ML Workflow Final Thoughts machine learning with python course in chennai offered by Immek Softech Academy is designed to help you build real-world skills and become job-ready.  ( 7 min )

If you’re juggling an assignment online about advanced software engineering or preparing real-world projects for your portfolio, check out this resource: Assignment Online Modern apps — from global chat platforms to live analytics dashboards and multiplayer games — must handle unpredictable traffic, deliver low latency, and survive component failures without downtime. Mastering distributed system design teaches you how to trade consistency for availability, reason about partial failures, and combine multiple technologies into resilient architectures. Employers prize developers who can design systems that continue to work when the network doesn’t. Distribution & Consistency models Event-driven architecture & messaging Microservices & service discovery State management & storage Fault tolera…  ( 8 min )

This article reflects my personal experience over 8 months of intensive AI-assisted development across multiple projects. Your mileage may vary, but the principles should translate across languages and frameworks. I was presenting this topic at Moldova DevCon 2025 and i want to share the whole story. This is my journey in pair software development with AI. This is not an advertisement or promo for any of products and any services i'm going to talk about. This is a personal opinion. I'll talk about some challenges and gains that i've encountered during these coding sessions. Eight months ago, I was that developer who rolled his eyes at AI coding tools. "Just fancy autocomplete," I thought. "Real developers don't need assistance." Basically, I didn't want to pay for stuff that I don't believ…  ( 15 min )

Intro I have been fooling around a lot with ai recently, and I thought I would write something about what I've been doing. There are a few things that I've been doing, and they're all fascinating. Writing average looking code using minimum viable prompts. Getting this average looking code refactored to be a robust service. Generating API documentation - and having Claude fix this code. This is part one of a small series that I have created to walk through the process I went through to get decent code. I had a crazy idea. I thought to myself, let's write something that will go through my git repos and automagially update my dockerfiles so that the dockerfile uses a fixed but more recent version of the base image. Most Dockerfiles have a fixed base image line that looks something like this…  ( 13 min )

Late 2022. I still remember the excitement. I pulled my classmate aside, opened my laptop, and typed a prompt into this new thing called ChatGPT. When the text streamed back, eyes widened. It felt like magic. It felt like the future. Back then, my message to everyone was simple "You guys need to try this. It's cool. It's going to change everything." Fast forward to Saturday, November 1 (Late 2025). I was standing in front of 70+ people at the Soedirman Digital School event with Purwokerto Dev. I was still talking about AI. But the message had changed completely. I wasn't there to hype the tools anymore. I was there to talk about the risks. The bias. The cognitive gap. How did I go from a "fanboy" to a "realist"? Here is the story. We need to admit something, as Gen Z, we have a massive pr…  ( 8 min )

Writing clean code rarely causes burnout. The real culprit is the cognitive load of context switching, managing infinite dependencies, and putting out infrastructure fires while trying to ship features. In 2025, 78% of senior engineers report feeling overwhelmed by operational complexity rather than algorithmic challenges. Multi-agent orchestration changes this dynamic by treating AI not just as a chatbot, but as a specialized team. By assigning specific roles—like tester, debugger, and documenter—to autonomous agents, developers regain the focus required for deep work. The role of a software engineer has mutated. It no longer involves just writing functions; it involves wrangling Kubernetes configurations, securing API endpoints, and managing cloud resources. A 2025 State of DevOps report…  ( 11 min )

For a long time, “frontend” sounded like a thin layer of buttons and CSS on top of the “real” application. Today, that picture is completely broken. Frontend is where product decisions surface, where performance is felt, and where user psychology either works for you or against you. All of that is happening inside a single render cycle. When someone taps a button or loads a page, they are judging not just your design but your product, your engineering, and your understanding of their needs. That is why the biggest upgrade for modern frontend developers is not learning yet another framework. The real shift is learning to think in systems. Frameworks come and go, patterns trend and fade, but a systems mindset compounds across teams, codebases, and entire products. Think in Systems, Not Scree…  ( 9 min )

A Grounded Manifesto for Law-N, CLSI, and the Future of Programmable Signals Post #2 of Law-N | November 2025 Every system we rely on today—cloud computing, mobile networks, 5G towers, routers, satellites, cables, Wi-Fi, API gateways—all of it is built on networking laws invented between 1973 and 1998. TCP/IP v4 (1981): Published as RFC 791 and 793 in September 1981, adopted as the standard for ARPANET on January 1, 1983—the "flag day" when the modern Internet was born12 DNS (1983): Domain Name System introduced HTTP (1991): The protocol that powers the World Wide Web GSM (1991): Global System for Mobile Communications launched 2G (1991): Second-generation cellular networks Modern Internet (1998): IPv4 reached widespread commercial adoption Yet we are living in 2025, running: 6 billion…  ( 30 min )

We've all heard that "high cohesion" is good. But what does cohesion actually mean? Most definitions focus on the mechanics: "elements that belong together should be grouped together." But this raises the question: how do we know what "belongs together"? The answer lies in understanding cohesion as a knowledge organization principle. Here's a more fundamental way to think about cohesion: Cohesion is about grouping knowledge that changes for the same reason Knowledge that varies together should be grouped together. Knowledge that varies independently should be separated. When you have high cohesion, all the knowledge in a unit changes for one reason—driven by one change driver. When you have low cohesion, the knowledge in a unit changes for multiple independent reasons—driven by different, …  ( 12 min )

🎯 Key Takeaways (TL;DR) A single 1B multimodal architecture covers detection, recognition, parsing, translation, and more in one unified OCR pipeline. Dual inference paths (vLLM + Transformers) plus well-crafted prompts make rapid production deployment straightforward. In-house benchmarks show consistent gains over traditional OCR and general-purpose VLMs across spotting, document parsing, and information extraction. What Is HunyuanOCR? Why Is HunyuanOCR So Strong? How to Deploy HunyuanOCR Quickly? How to Design Business-Ready Prompts? What Performance Evidence Exists? How Does the Inference Flow Work? FAQ Summary & Action Plan HunyuanOCR is Tencent Hunyuan’s end-to-end OCR-specific vision-language model (VLM). Built on a native multimodal architecture with only 1B parameters, it reach…  ( 9 min )

CinemaSins drops a 16-minute “Everything Wrong With KPop Demon Hunters” video, poking fun at what a sinning version of that film might sound like—packed with their signature jokes and nitpicks. The description is basically a self-promo, pointing you to Cinemasins.com, their YouTube channels, a poll, Patreon support, and a whole list of writers and social links (Twitter, Instagram, Discord, Reddit, TikTok, even a book). Watch on YouTube  ( 6 min )

In Part 3 of this series, we enhanced our AI agent with domain-specific knowledge through RAG, allowing it to answer questions based on company documents. However, we discovered another critical limitation: when asked about real-time information like weather forecasts or current dates, the agent couldn't provide accurate answers. AI models are trained on historical data with a knowledge cutoff date. They don't have access to real-time information like current weather, today's date, live flight prices, or currency exchange rates. This makes them unable to help with time-sensitive tasks that require up-to-date information. In this post, we'll add tool calling (also known as function calling) to our AI agent, allowing it to access real-time information and take actions by calling external API…  ( 12 min )

The world is shifting towards AI-powered solutions, but there’s more to successful AI adoption than just creating sophisticated models. For businesses, the real question is how to deliver AI products that actually work, scale, and integrate seamlessly with their operations. The good news is that Ruby on Rails is becoming a key tool for AI adoption in businesses. By using Ruby on Rails, companies can quickly turn advanced AI models into useful tools that bring real value to both customers and teams. In this article, we’ll explore why Ruby on Rails AI development is the best choice for companies looking to harness the power of AI, and how it accelerates the transition from AI concept to real business impact. Artificial Intelligence is exciting, but many organizations face challenges in trans…  ( 15 min )

AI Agent Memory: From Manual Implementation to Mem0 to AWS AgentCORE Introduction AI agents need memory to remember past conversations, user preferences, and learned information. Just like humans have different types of memory (short-term, long-term, episodic), AI agents use different memory systems to function effectively. This guide explains memory in simple terms and shows you how to implement it both without external tools (using pure Python) and with external tools (using specialized services). We'll end with a complete end-to-end solution using Mem0 that combines all memory types. Think of AI agent memory like human memory: Memory Type What It Does Simple Example Short-term Memory Remembers current conversation "What did the user just say?" Long-term Memory Reme…  ( 19 min )

Which of the following do you think is faster? direct DOM API calls (createElement, appendChild) assigning HTML strings to innerHTML Chances are you'll say the former is faster and most people would agree. Now, critical thinking to the rescue. Is this really, really true? At the end of the day, browsers have been optimised around parsing HTML for decades and writing HTML feels better than the raw DOM API, so... true or not, is is worth it at all? Thought it's time to test assumptions and hypotheses, both in extreme and more realistic scenarios. An extreme scenario is one where you render a view tens of thousands of times on a page. In a realistic scenario, you render a view once. Two simple functions on the scene. One builds the view by hand with createElement, setAttribute, appendChild…  ( 8 min )

In the high-speed, high-stakes world of modern development, a professional’s worth is measured by two inseparable metrics: the depth of their technical skill and the breadth of their public trust. It is a paradox of the digital age that the very transformation making us better technically (the shift from coder to engineer) must be validated by transparent, human feedback (public review platforms). My name is Simon Leigh, and as the Director of Pure Reputation, I spend my professional life at the intersection of expertise and trust. The two concepts—internal competence and external accountability—must converge, or the foundation of a career, or an organization, will prove fragile. We must understand that our professional value chain starts with a profound mindset shift happening within the …  ( 10 min )

Generative Simulation Benchmarking for smart agriculture microgrid orchestration with zero-trust governance guarantees It was during a late-night research session analyzing energy consumption patterns in automated vertical farms that I had my breakthrough moment. While studying the complex interplay between renewable energy sources, crop growth algorithms, and security protocols, I realized that traditional simulation approaches were fundamentally inadequate for modeling the dynamic, multi-agent environment of modern smart agriculture microgrids. My exploration of quantum-inspired optimization algorithms revealed that we needed a paradigm shift—one that could generate realistic simulation environments while maintaining ironclad security guarantees. During my investigation of agricultural…  ( 11 min )

What do you do when your dataset is small, you can’t collect more data, and every conclusion feels unreliable? Most beginners think the only answer is: “Get more data.” They learned how to squeeze hundreds of new datasets out of one tiny dataset— This trick is called Bootstrapping, Let’s break it down in the simplest way possible. What is Resampling? Resampling means: Taking samples from your existing data again and again to learn more about the population. It is used when: Data is small You can’t collect more data You want to estimate accuracy or uncertainty Two main types: Method Meaning Bootstrapping A resampling method where you create many new datasets by sampling with replacement to estimate a statistic’s accuracy and uncertainty. Jackknife A resampling method where yo…  ( 8 min )

Building an online community today is a lot like building a friendly neighborhood, but in the digital world. You need tools that help people connect, share, chat, and engage without friction. WordPress, being as flexible as it is, gives you countless WordPress community plugins to do exactly that. But with so many options out there, how do you pick the right ones? In this guide, I’ll walk you through the 8 best WordPress community plugins for 2025, all in simple language and with honest, human explanations. Think of this as your roadmap to creating a lively and interactive space that people will love to be part of. WordPress community plugins are tools that help you turn your website into an interactive online space where people can connect, communicate, and engage. Think of your website a…  ( 7 min )

Quick Answer: Implementing comprehensive website security requires a three-layer defense strategy: foundational protocols (HTTPS, WAF, secure authentication), continuous maintenance (updates, backups, secure hosting), and security-first development practices. According to cybersecurity research, 43% of cyber attacks target small businesses, making proactive security measures critical for all website owners. Why Website Security Matters in 2025 68% of data breaches involve human error or weak authentication systems Average cost of a website breach: $4.45 million (IBM Security Report 2024) Recovery time without proper backups: 7-14 days minimum 1. Foundational Security Protocols: Your First Line of Defense These core measures protect against 85% of common cyber attacks and build immedi…  ( 10 min )

TypeScript’s structural type system is convenient and flexible: two types are compatible when their shapes match. That convenience can become a problem when you want different domain concepts (e.g. UserId vs ProductId) to be treated as distinct even though both are plain strings or numbers. This post explains two effective patterns for making types nominal-like in TypeScript: branding (tagged types) and the unique property pattern (using unique symbol). You’ll get practical code, runtime-friendly factories and guards, and guidance about trade-offs and pitfalls. Example of the problem: type UserId = string; type ProductId = string; function getUser(id: UserId) { /* ... */ } const pid: ProductId = "p-123"; getUser(pid); // allowed — but this is probably a bug Because UserId and ProductId …  ( 9 min )

Introduction In modern backend engineering, API integrations are no longer “extra features”, they are the backbone of how systems communicate, automate, and scale. Whether you’re building a fintech product, a logistics platform, a telecom service, or a healthcare system, your application will eventually depend on external APIs for mission-critical operations. The challenge is that most engineers approach integrations as simple HTTP calls. In reality, designing reliable, secure, high-performance integrations requires thinking in terms of architecture, failure modes, resilience, abstraction layers, and long-term maintainability. In this breakdown, I explain API integrations the same way I would coach a backend engineer joining a large-scale engineering team. The goal is to shift your minds…  ( 9 min )

Why does your pointer not point where you think it does?. In the previous article What Every Programmer Should Know About Memory (Part 1), we covered sections 2 and 3 from the article: What Every Programmer Should Know About Memory by Ulrich Drepper. In this article, we will continue from where we left off and cover section 4 (yes, section 4 only). The previous article explored memory hierarchies from the ground up — how DRAM hardware works, why CPU caches exist, and practical optimization techniques like cache-line awareness and data structure layout. We examined the physical reality behind the "flat array" abstraction and learned why memory access patterns matter for performance. In this article, we continue with section 4 of Ulrich Drepper's paper, diving deep into Virtual Memory — th…  ( 14 min )

Modern applications often consist of multiple microservices running independently. In this guide, we will deploy two microservices (Node.js + Python Flask) to AWS ECS Fargate, automatically: Building Docker images Scanning with Trivy Pushing to Docker Hub Deploying to ECS Fargate with Application Load Balancer Routing paths /users and /orders All using OpenTofu (Terraform alternative). microservices-ecs-tofu/ ├── services/ │ ├── user-service/ │ │ ├── Dockerfile │ │ ├── app.js │ │ ├── package.json │ │ └── node_modules/... │ └── order-service/ │ ├── Dockerfile │ ├── app.py │ └── requirements.txt └── tofu/ ├── ecs.tf ├── iam.tf ├── network.tf ├── main.tf ├── terraform.tfvars ├── variables.tf └── scripts/ └── build_scan_…  ( 9 min )

Orchestrating Nature: AI-Powered Birdsong Soundscapes Ever tried building a realistic outdoor scene only to find the birdsong sounds repetitive and lifeless? Creating truly dynamic and diverse natural soundscapes has always been a challenge, requiring extensive recording libraries or complex manual sound design. Now, imagine an AI that can compose entire ecosystems of birdsong, dynamically shifting with time and space. This breakthrough involves algorithmic sound synthesis combined with spatial audio rendering. Instead of relying on pre-recorded samples, the system uses mathematical models to generate individual bird calls, mimicking the complex frequency modulations and amplitude envelopes characteristic of each species. This generative approach allows for an endless variety of realisti…  ( 7 min )

In a significant development in the world of cloud computing and artificial intelligence (AI), NATO has announced a multi-million dollar deal with Google Cloud to create an AI-enabled sovereign cloud. This partnership marks a major milestone for both parties, as it enables the integration of cutting-edge technology with security and data sovereignty. A sovereign cloud refers to a cloud computing environment that operates independently from any third-party service providers. It's essentially a cloud infrastructure owned and managed by an organization itself, providing control over data storage and processing. Sovereign clouds are gaining popularity among governments and institutions seeking to maintain data security and compliance with local regulations. The integration of AI technology int…  ( 7 min )

L'outil de cybersécurité incontournable : Wireshark Introduction Dans le monde connecté d'aujourd'hui, la cybersécurité est une préoccupation majeure pour les entreprises et les particuliers. Les cyberattaques sont de plus en plus sophistiquées et fréquentes, ce qui rend essentiel l'utilisation d'outils de cybersécurité efficaces. Parmi ces outils, Wireshark est un incontournable pour analyser le trafic réseau, détecter les failles de sécurité et garantir la protection des données sensibles. Wireshark est un analyseur de protocole réseau open source qui permet de capturer et d'inspecter le trafic en temps réel. Il est largement utilisé par les professionnels de la sécurité informatique et les administrateurs réseau pour analyser le comportement des réseaux, identifier les a…  ( 7 min )

Modern Haima engines include advanced electronic throttle control and multi‑point fuel injection systems optimized for low‑speed torque and emission efficiency. In daily repair operations, these systems often show calibration drift after 60,000 km due to sensor hysteresis and aged ignition maps. During the last months at our workshop in Tehran we observed several Haima repair shop units with inconsistent idle speed caused by slight mismatch between IAC stepper control and ECU baseline airflow table. Many technicians replace actuators before examining the adaptive fuel trims. But on Haima engines, the real issue often lies in the temporal alignment between throttle opening rate and manifold pressure transient. Using only an OBD snapshot isn’t enough — data logging under dynamic load (i.e., simulated hill climb) gives more reliable insights. The most stable correction we found was clearing the long‑term fuel trim (LTFT) values, running the idle learning cycle, and re‑mapping the ignition advance using a scanner that supports GDI adaptive tables. This can recover up to 5–8 % of lost efficiency. From a thermal standpoint, Haima’s radiator core is small relative to engine bay volume, which increases localized heat stress at the throttle body zone. Regular coolant replacement with G12++ improves the actuator’s life‑cycle notably. ⚙️ Engineering note: ECU synchronization and thermal equilibrium are inseparable in modern Haima vehicles; diagnostics should always consider both software behavior and heat‑transfer equilibrium rather than component isolation. Written from field observations as part of engine system diagnostics training in Tehran.  ( 6 min )

I love programming and after exploring cloud and devops, I was almost giving up but terraform is sparking my interest again. I think I’m one of the few people who actually enjoy a formal introduction to things. Today was my official introduction to Terraform. I explored why Terraform exists, the problems it solves, the old-school way people used to interact with cloud platforms, and why Infrastructure as Code matters in modern engineering. If Terraform or IaC still sound new to you, here’s the simplest update: Infrastructure as Code is a way to create cloud resources using code instead of clicking around dashboards. Terraform is the most popular tool for this, letting you describe the infrastructure you want and then letting Terraform talk to the cloud provider on your behalf. Get started …  ( 7 min )

I've been building on AWS for multiple years now, and one of the most repetitive parts I found was writing crude operations for DynamoDB. Every project starts the same: use boto3 to define the table define a big JSON payload JUST to fetch some data from the table copy-and-paste methods from previous projects for all CRUD operations, basically adding boilerplate code That's when I found out about a library called PynamoDB , a lightweight ORM for DynamoDB tables and that changed the way I manipulate table’s data. Welcome to the part two of creating code for a real estate platform where in the first post we went over a pipeline of labeling main parts of the properties and now we're gonna go over Lambdas which are responsible for CRUD operations. The code in this post will be a shortened versi…  ( 13 min )

If you're an engineer, you've likely been there: you receive an email from the VPE. "Our cloud burn rate is up 15% this quarter. Find the leak." Suddenly, you’re spending a week digging through Cost Explorer when you should be shipping features. This reactive loop is a system failure. The cost of an S3 bucket or an undersized Redis cluster isn't hidden; it's just hidden from the people making the deployment choices (the developers). The Solution: Move Cost Awareness to the Merge Request. Step 1: The Cost Budget Function The trick is to connect that plan to a cost estimator. Tools like Infracost or Terragrunt hooks can parse the plan output and give you a dollar estimate for new/modified resources. What we're looking for: A 'cost_impact_monthly' variable that appears for every single PR modifying infrastructure. Step 2: Implementing the CI/CD Gatekeeper We define two simple rules in our CI pipeline (e.g., GitHub Actions, GitLab CI): Low Impact Threshold (Green Path): If cost_impact_monthly is $100 (or $500, define your risk tolerance), fail the pipeline and require a specific /cost-approved comment from an Engineering Manager (or FinOps role) to proceed. This is the non-obvious shift: The friction is applied only when the financial risk is high. This makes the Engineering Manager the conscious gatekeeper for major spending, while preserving developer flow for minor changes. The Outcome: From Audit to Prevention By treating cloud spend as an observable artifact of the deployment pipeline, we turn a quarterly audit problem into a daily prevention system. Developers become cost-aware by default, and your VPE stops sending those embarrassing emails. You’ve successfully made the cheap way the easiest way to ship  ( 7 min )

Background I understand why you might dislike DEI... I understand why some of you might have reservations about DEI. It's partly due to the disruptive actions of some radical minorities. The recent move to abolish DEI in the U.S. is fresh in memory, and there may be engineers who inwardly applauded this decision. In fact, some tech companies have removed mentions of DEI from their websites. From the standpoint of a Knowledge Architect, I must say that DEI is actually crucial for engineers. This is not about accepting the radical actions of a minority. It's a more fundamental and forward-thinking issue. It helps protect you and is especially pertinent, if not essential, for those in roles like engineering managers or staff engineers who have a broader organizational perspective…  ( 10 min )

Today I learned Linux fundamentals, and it was a super valuable experience for me as an AWS & DevOps Engineer. 🤗 I understood how Linux is the backbone of most cloud environments, servers, and container systems like Docker & Kubernetes. It provides a secure, stable, and highly customizable platform, making it essential for automation, troubleshooting, and cloud deployment. Learning Linux is definitely boosting my confidence in building efficient cloud and DevOps solutions. 🚀 If you found this helpful, share your thoughts, experiences, or tips in the comments — I’d love to learn from you too! 😊 Linux was created in 1991 by Linus Torvalds as a free and open-source alternative to UNIX. The first Linux kernel was released publicly, allowing global developers to contribute and improve it…  ( 9 min )

Edge computing is quickly becoming the backbone of real-time digital transformation. In a world where milliseconds matter—from autonomous vehicles making instant decisions to factories predicting equipment failures before they happen—businesses can’t rely solely on centralized cloud systems anymore. They need speed, reliability, and intelligence right at the source of data, and that’s exactly where edge computing steps in. Today’s enterprises are shifting toward real-time digital transformation, where automation, analytics, customer experience, and operational systems must respond instantly. This demand is pushing organizations to adopt edge-driven architectures that keep computation close to users, devices, and machines. Digital transformation used to revolve around cloud adoption. But as…  ( 8 min )

Moving files between environments can be a headache. Whether it’s from on-premises to Azure, or from AWS to Azure, there’s always the same challenge: how do you do it securely, at scale, and without reinventing the wheel? Traditionally, you might reach for tools like AzCopy, Azure Data Box, or Azure Migrate, but there’s a new option designed to make migrations smoother: Azure Storage Mover. In this post, I’ll walk you through what Azure Storage Mover is, highlight its new cloud-to-cloud migration capability for moving data from Amazon S3 to Azure Blob Storage, and show you how to get started. Azure Storage Mover became generally available in February 2022, it was launched as a fully managed hybrid migration service that made moving your files and folders to Azure easy. Azure Storage Mover…  ( 11 min )

Step 1: Account Setup Step 2: Upload Project Files Open File Manager: In the cPanel, find and click "Open File Manager". *Step 3: Set up the Database * Import Database: In phpMyAdmin, go to the "Import" tab. Click "Choose File", select your local .sql database file, and click "Go" to upload it. Step 4: Configure Your PHP Project Edit Configuration File: In the File Manager, locate your database configuration file (e.g., config.php, db.php, or similar). Open it for editing. Update Credentials: Change the localhost database credentials to the new InfinityFree credentials. You can find the required details (DB Hostname, DB Name, DB Username, DB Password) in your client area under "MySQL Details": DB Server (Hostname): This will be a specific hostname, not localhost. DB Username: A unique username generated by InfinityFree. DB Password: The password you set for the hosting account (or database password if you set one separately). DB Name: The name you provided when creating the database in cPanel. Save Changes: Save and close the configuration file. Your PHP project should now be deployed and accessible via the domain name you selected in Step 1. You may need to clear your browser cache to see the changes.  ( 7 min )

‘Two for the Money’ Rewatchables Recap Bill Simmons, Chris Ryan, and Cousin Sal fire up their favorite Monday night parlay to revisit the 2005 sports thriller Two for the Money (starring Matthew McConaughey, Al Pacino, and Rene Russo). They kick things off with a cold open, dive into the movie’s high-stakes betting dynamics, pick their most rewatchable scene, and roll out their signature rating categories. Produced by Craig Horlbeck, Chia Hao Tat, and Eduardo Ocampo, this episode is powered by Subaru’s Share the Love® Event and State Farm. Don’t forget to hit up The Ringer’s YouTube channels and social feeds to keep the conversation going! Watch on YouTube  ( 6 min )

CinemaSins is back on the yellow brick road with “Everything Wrong With The Wiz In 15 Minutes Or Less,” poking fun at the classic now that Wicked’s back in theaters. They promise a rapid-fire rundown of every cinematic sin, while nudging you to explore their site, YouTube channels, and Linktree for even more film nitpicking. They’re also begging for your sinful opinions via a quick poll, asking for Patreon love, and inviting you into their Discord, Reddit, Instagram, and TikTok communities—plus you can follow their writers Jeremy, Aaron, Jonathan, Deneé, Ian, and Daniel across social media. Watch on YouTube  ( 6 min )

Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less is a snark-packed CinemaSins breakdown of the film, where the team rips into every plot hole, cheesy one-liner and over-the-top dance-fight moment. If you’ve ever wondered what it sounds like when nitpickers tackle K-Pop–fueled demon slaying, this video has you covered in signature Cinemasins style. Along the way you’ll find links to their main site, YouTube spinoffs (@TVSins, @CommercialSins), a fan poll, Patreon support and a Linktree for all the latest updates. They even shout out their writers and social handles, plus invite you to join the Discord and Reddit community for more sinful fun. Watch on YouTube  ( 6 min )

In a world that never seems to slow down, we are constantly chasing deadlines, notifications, and the next big thing. We are more connected than ever, yet many of us feel a growing sense of disconnection from ourselves and what truly matters. Amidst this digital noise and constant hustle, a quiet but powerful trend is emerging: a return to spirituality. But what does that even mean today, and why is it becoming so essential? Modern life often measures success in material terms: career advancements, financial gains, and social status. While these can be rewarding, they don't always fill the deeper human need for purpose. Spirituality offers a different lens through which to view life. It encourages you to look inward and ask the big questions: Who am I? What is my purpose? What brings me…  ( 8 min )

For cross-border e-commerce businesses, the digital marketplace is filled with opportunities, but it also comes with its share of risks. When running an online store that serves customers in different countries, the website is constantly exposed to a range of cyber threats, from bot attacks and credit card fraud to data scraping and denial-of-service (DoS) attacks. One such e-commerce business, an independent store selling specialized products across multiple countries, faced a growing number of security challenges. After suffering from bot-driven fraud attempts, scraping, and some SQL injection attempts, the owner turned to SafeLine, a self-hosted Web Application Firewall (WAF), to enhance security, regain control, and ensure the integrity of the business. This case study details how Sa…  ( 9 min )

The Crime Scene It was 2 AM on a Tuesday when my phone exploded with alerts. Our e-commerce platform was dying. Response times had ballooned from 200ms to 45 seconds. The CPU graphs looked like a heart monitor during a cardiac arrest. I logged in, hands shaking, coffee forgotten. The culprit? A seemingly innocent query: SELECT * FROM products WHERE description @@ to_tsquery('wireless bluetooth headphones') ORDER BY created_at DESC LIMIT 20; My "fix" from earlier that day: adding a B-Tree index on the description column. The problem: I'd brought a lockpick to a safe-cracking job. This disaster taught me something crucial: PostgreSQL indexes aren't just about "making queries faster." They're specialized tools, each designed for specific types of heists—I mean, queries. Using the wrong …  ( 15 min )

Understanding the hidden failure mechanisms in Li-ion/Li-polymer batteries for better hardware design. Lithium batteries power almost everything from IoT devices and wearables to drones and robotics. However, many developers struggle with unexpected battery failures — sudden drops in runtime, swelling, overheating, or even thermal runaway. Understanding why lithium batteries fail is crucial for makers, engineers, and hardware developers to build reliable devices. This article breaks down the technical causes, symptoms, and engineering considerations. Overcharging & Voltage Stress What happens: Charging a Li-ion battery beyond its maximum voltage (usually 4.2V per cell) leads to chemical stress: Formation of lithium metal on the anode (lithium plating) Breakdown of the electrolyte I…  ( 8 min )

Overview No-code and low-code development platforms are transforming the way we create software. By replacing complex programming languages with intuitive visual interfaces, these tools empower almost anyone to build applications, automate workflows, and solve business problems. This movement is critical now because it addresses the pressing need for faster innovation and helps bridge the ever-widening gap between the demand for digital solutions and the limited supply of professional developers. Imagine having a brilliant idea for an app that could solve a major pain point for your team or customers. In the past, the path from idea to reality was a long and expensive one, requiring specialized coding skills and significant development resources. That barrier is crumbling. The rise of no…  ( 9 min )

The drive towards a circular economy in the UK is gaining momentum, with the Government's 'Circular Economy Growth Plan' for England now anticipated in the new year. This strategic shift, despite a slight delay from its initial autumn 2025 consultation target, signals a significant evolution in how industries, including commercial real estate (CRE), will approach resource management. For property owners and asset managers, understanding this impending framework is crucial, as it will shape future operational practices, compliance requirements, and investment decisions, moving away from a traditional 'take-make-dispose' model towards one that values reuse, repair, and recycling. The traditional linear economy model, prevalent for decades, has led to immense waste generation, resource deplet…  ( 8 min )

Problem Definition Ordering log events produced across distributed systems is fundamentally constrained by the nature of independent physical clocks. Wall-clock timestamps cannot provide a reliable global sequence, because each machine maintains its own oscillator with unavoidable drift. Even under NTP or similar protocols, timestamp discrepancies accumulate continuously due to rate differences, network delays, and local scheduling effects. Any distributed operation introduces uncertainty in temporal order. Network latency, buffering, batching, and concurrency all contribute to the inability to determine whether two events across services occurred in a particular order when relying solely on physical time. The concept of temporal ordering is meaningful only within a single clock domain; …  ( 7 min )

I’ve been working with containerized applications for a while, and one thing that always confused me in the beginning was Docker image tagging. I just followed whatever the team did, pushed images, and hoped things worked. But over time.. especially when handling multi-tenant apps, shared registries, and too many deployments. I started to see how bad tagging decisions can break everything. So here’s my experience and what I learned the hard way. The moment I realized “latest” is a trap When I first started using Docker, I thought: “Ah, just push it with latest. Simple.” Until one day, a tenant’s production environment suddenly rolled back to a previous version. Because someone else on the team pushed a new image with the same latest tag. The registry replaced it silently. The cluster pulle…  ( 8 min )

The modern web is a battlefield. Between SQL injection attempts, automated credential stuffing, aggressive scrapers, and waves of bot traffic, every public-facing site is exposed to constant threats. To keep applications safe, developers and sysadmins have long relied on Web Application Firewalls (WAFs). Most teams default to cloud WAFs — offerings like Cloudflare, AWS WAF, or Akamai. They’re convenient and quick to deploy, but sometimes you need more than convenience. Maybe you need full control over traffic, maybe privacy regulations prevent you from routing data through third-party networks, or maybe the long-term subscription cost isn't appealing. That’s where self-hosted WAFs step in. And among the new generation of self-hosted solutions, SafeLine has been gaining traction for taking…  ( 8 min )

Building a Real-Time Crypto Arbitrage Monitoring System RisingWave Labs ・ Nov 25 #productivity #bitcoin #database #datascience  ( 6 min )

There is a misconception that "AI engineering" is just typing clever phrases into a chat window. In reality, ai model engineering is a rigorous technical discipline focused on optimizing the performance, latency, and behavior of probabilistic models. For developers building vertical-specific applications, the out-of-the-box performance of a foundation model is rarely enough. You need to engineer the model to fit your domain. Context Engineering and Window Management ai model engineering starts with context. The "context window" is the RAM of your AI application. Context Stuffing: Strategies to fit the most relevant information into the prompt without exceeding token limits. Token Optimization: Compressing verbose JSON data into CSV or Markdown formats to save tokens and improve model reaso…  ( 7 min )

🌟 What I Built I recreated a modern cross-platform UI inspired by a beautifully structured mobile dashboard layout. My goal was to take a clean, minimal interface concept and rebuild it using Uno Platform Studio Pro’s Hot Design tool, enhanced with the AI-powered Hot Design Agent. This concept was chosen because it allowed me to explore live UI adjustments, dynamic layouts, and Hot Reload synchronization — giving me full control over design refinement while the app was running. 🎨 Original Design Reference I selected a sleek mobile UI concept featuring: A hero header Card-based layout Rounded controls A modern light theme (Screenshots would appear here in the final post.) 🎥 Demo I built and ran the project across supported targets using Uno Platform. Running the app directly from the IDE…  ( 7 min )

Arbitrage is a simple strategy. You buy an asset on one exchange where the price is low and sell it on another where the price is high. In crypto markets, these price differences, or spreads, appear and vanish in milliseconds. If your data pipeline takes five seconds to process a batch of prices, the opportunity is already gone. This post demonstrates how to use RisingWave—an open-source real-time event streaming platform—to detect arbitrage opportunities with sub-second latency using standard SQL. The Engineering Bottleneck Arbitrage requires monitoring fragmented liquidity across Binance, Coinbase, OKX, and DEXs simultaneously. This creates three specific engineering hurdles. Velocity: During volatility, you might ingest over 10,000 price ticks per second. Synchronization: You cannot c…  ( 11 min )

In many organizations, fax has quietly transformed from a loud, paper-driven chore into a silent digital backbone for secure, compliant communication. This evolution is not just about replacing machines; it is about redesigning how information flows through critical workflows across the healthcare, finance, legal, and government sectors. Traditional faxing chained teams to physical devices, manual dialing, paper jams, and filing cabinets, slowing down approvals and increasing the risk of misplaced or exposed documents. Digital fax platforms shift this work into the cloud, providing centralized control over transmissions, storage, and routing so that documents move quickly while remaining auditable and secure. Instead of printing and scanning, users send documents directly from core app…  ( 8 min )

The "hello world" phase of generative ai development is officially over. We have moved past the era where simply calling an OpenAI API was enough to impress stakeholders. As we settle into 2025, the focus for software engineers has shifted entirely from experimentation to reliability, observability, and cost-efficient scaling. Building production-grade generative systems requires a rigorous engineering mindset. It is no longer just about prompt engineering; it is about architectural patterns that ensure determinism in a non-deterministic environment. The most significant trend we are seeing is the move away from monolithic LLM calls toward compound systems. In professional generative ai development, reliance on a single model's raw output is often a recipe for hallucination and latency. In…  ( 7 min )

This is where AI-powered recruiting is stepping in as a game-changer. With advances in automation, predictive analytics, and conversational AI, organizations are finally gaining tools that help remove bias, widen talent pools, and create a more equitable hiring experience for every candidate. Instead of replacing human recruiters, AI is becoming an intelligent partner—supporting better decisions, improving efficiency, and fostering fairness. This shift is reshaping recruitment practices across industries, making fair hiring not only possible, but scalable. Bias—whether conscious or unconscious—affects hiring decisions more than we often realize. Traditional recruitment heavily depends on human judgment, which can unintentionally favor certain backgrounds, education levels, appearances, or …  ( 9 min )

Today marks the exciting start of the #30daysofawsterraform challenge with @piyush Sachdeva, and Day 01 immediately tackled the most critical question in modern cloud engineering: Why do we need Infrastructure as Code (IaC)? The key takeaway is that relying on the cloud console for infrastructure management is a recipe for scaling issues, high costs, and system inconsistencies. Our goal is to move from manual clicks to automated, version-controlled code. The Core Problem: Manual Cloud Operations Don't Scale Using the cloud console (GUI) might seem easy for creating a single resource, but complexity quickly leads to disaster in a production environment. Imagine provisioning a complex three-tier application. This involves setting up the Virtual Private Cloud (VPC), multiple servers (EC2), lo…  ( 8 min )

Laravel Pint is a zero-configuration PHP code style fixer built specifically for Laravel projects. It automatically formats your PHP code to follow consistent styling standards without requiring manual setup or complex configuration files. Pint comes pre-installed with all new Laravel applications (version 9.21 and newer), so you can start using it immediately after creating a project. It works by scanning your PHP files and automatically fixing code style issues based on Laravel's opinionated coding standards. Laravel Pint is built on top of PHP-CS-Fixer, a popular PHP code formatting tool. The key difference is that Pint simplifies the setup process, while PHP-CS-Fixer requires complex configuration files written in PHP, Pint uses simple JSON configuration and works out-of-the-box with s…  ( 9 min )

Chapter 2: Variables, Types, and the Art of Declaration The morning light streaming through the tall windows of the Whitmore Archive had a different quality today—sharper, more purposeful. Ethan arrived precisely at ten, as Eleanor had suggested, carrying two cups of coffee in a cardboard tray. The aroma of single-origin Ethiopian beans preceded him down the stairs. Eleanor looked up from her desk, one eyebrow raised in approval. "Bluestone Lane?" "They remembered you from yesterday," Ethan said, setting her cup down carefully. "The barista said 'the usual for the elegant woman who knows her coffee.'" "I may have been going there since 1994." Eleanor lifted the cup and inhaled. "Perfect. Now sit. Today we learn about identity." Ethan pulled out the spare laptop. "Identity?" "In Go, every…  ( 14 min )

Il m’arrive souvent, entre deux lignes de code, deux features à shipper ou deux idées de startup; de repenser à l’environnement dans lequel j’ai grandi. Un environnement qui, qu’on le veuille ou non, influence profondément notre manière de travailler, de penser, de créer et même de rêver. En RDC, beaucoup de gens ont vécu des situations qu’on aurait du mal à imaginer dans un pays “normal”. Des injustices tellement profondes qu’elles laissent des traces invisibles. Grandir dans ce contexte, ce n’est pas juste vivre. Je vois des jeunes déjà épuisés psychologiquement alors qu’ils n’ont même pas commencé leur vie. Le contraste le plus cruel ? Alors oui, changer sera difficile. Et pourtant, malgré tout ça, il existe une lueur. Peut-être que notre rôle, à nous, c’est d’allumer une lumière. Ce n’est pas un article technique. C’est juste… un rappel. Une pensée. Un morceau de vérité d’un développeur qui code dans un pays où, parfois, rien n’encourage à continuer mais où, paradoxalement, tout nous oblige à ne pas abandonner.  ( 7 min )

Unlocking Sustainable AI Innovation: Monetizing Conversations with Monetzly In a world where AI applications are proliferating, developers face a significant challenge: how to monetize effectively without disrupting user experience. Enter Monetzly, the first dual-earning platform designed specifically for AI conversations. We’re building a three-sided marketplace that connects developers, advertisers, and users, creating win-win-win scenarios for everyone involved. As developers, you know the struggle of implementing monetization strategies without alienating your users. Subscription models and paywalls can deter engagement and undermine the very experience you strive to create. But what if there was a way to generate revenue while enhancing user experience? Monetzly offers a unique sol…  ( 7 min )

Recent FDA inspections at Rubicon Research’s India facilities (Satara and Thane) have highlighted persistent GMP risks that matter to every pharma QA team: documentation gaps, inadequate process controls and validation, weak CAPA and complaint systems, and an increasing emphasis on data integrity and third-party oversight. QA teams should respond by tightening design-of-experiments and validation practices, rebuilding CAPA into a data-driven system, strengthening complaint triage and MDR-like reporting for combination products, and instituting rigorous data governance. Below you’ll find a detailed, actionable report with evidence, trends, and a step-by-step preparedness plan tailored for life-science and pharmaceutical manufacturers. This information is sourced from the Atlas Compliance to…  ( 13 min )

We’re excited to announce a brand-new addition to Angular Material Blocks — introducing Database, a complete website template designed for SaaS products, developer tools, and modern cloud platforms. Database is built with the latest Angular ecosystem: Angular 20 Angular Material 20 Tailwind CSS 4 Zoneless architecture Light & Dark theme support Markdown docs using marked.js Shiki-powered code highlighting SaaS website template showcasing DataBase product with responsive desktop and mobile interfaces highlighting web application features Landing page for a modern database service with usage statistics and pricing information Database pricing page showing three subscription tiers with different features and pricing for Starter, Teams, and Business plans. Changelog is written using Markdown with custom angular components and redered using markedjs! Shiki is the goto highlighter for codes! And it was perfect fit for this template. Whether you’re launching a new SaaS, building a DevTool, or creating documentation for your product, Database gives you a professional, production-ready foundation to ship faster. 👉 Live Preview: https://template-database.angular-material.dev/ https://ui.angular-material.dev/templates#database https://ui.angular-material.dev/ If you have any feedback or need help integrating the template into your Angular project, we’re always happy to help! Happy coding!  ( 6 min )

Imagine it’s 2030. You walk into your home office, grab your coffee, and fire up your IDE. But something’s different. Your coding partner today isn’t just a team member on Zoom—it’s an AI assistant that already understands the project’s architecture, knows the quirks in your codebase, and can suggest optimizations before you even type a single line. It’s not science fiction—it’s a near-future reality that developers are starting to glimpse today. This scenario may sound intimidating to some. Are we edging closer to a world where programmers are obsolete? Will AI really replace human developers in the next decade? Let’s explore what the future of coding actually looks like. Spoiler: It’s not about humans versus machines—it’s about humans working with machines in ways we’ve never seen before…  ( 9 min )

Canada’s digital economy is scaling at an unprecedented velocity, driven by enterprise modernization, startup acceleration, and a surge in mobile-first service delivery across healthcare, fintech, retail, logistics, and public services. As organizations position themselves for 2026, mobile applications have become mission-critical assets—engineered not just as customer touchpoints but as growth enablers, operational engines, and data-intelligence hubs. Yet the fundamental question remains: What will it cost to bring an app to market in Canada next year? Understanding the answer is essential for leaders looking to build investment-ready roadmaps, mitigate development risks, and architect a scalable digital foundation. App development is a multi-layered undertaking. Costs vary based on techn…  ( 9 min )

Most people think running AI coding models locally is confusing, slow, and not worth it—here's the simple playbook for private, fast dev that works ↓ You don't need the cloud to ship faster. You need control, privacy, and zero surprise bills. I learned this after testing seven open models on a normal laptop. Local wins when latency, security, and cost matter. Your code never leaves your machine, so risk drops fast. Tokens are free after setup, so usage can scale without panic. Modern 15B–70B models handle code assist, tests, and docs well. Example. On a 16GB RAM laptop with a 15B model, code completions arrived in 0.9 seconds on average. Unit tests generated in eight seconds per file. We cut review time by 32 percent and saved 400 dollars a month in API fees. Setup took 45 minutes using a container and a GPU driver. ↓ A simple way to get started this week. ↳ Pick a model sized to your hardware, start with 7B–15B if you have a single 8–12GB GPU. ↳ Use a local server like Ollama or LM Studio to run and manage models. ↳ Connect your IDE through an API or extension for inline suggestions. ↳ Cache prompts, pre-load repos, and run the model in 4-bit to boost speed. ↳ Track latency and acceptance rate so you improve what actually matters. Expect instant responses, predictable costs, and fewer red flags from security. Your team ships faster because feedback loops shrink to seconds. What's stopping you from going local for coding today?  ( 7 min )

# Disclaimer: Úsalo solo en entornos que controles o tengas permiso explícito. Ya sabes, ética y esas cosas aburridas pero necesarias. ¿Por Qué Nim? (Y Por Qué Deberías Prestarle Atención) Probablemente estés pensando: "¿Nim? ¿No es ese lenguaje que nadie usa?". Bueno, sí y no. En el mundo del red teaming, Nim se está convirtiendo en el chico cool del barrio por varias razones: Binarios pequeños: Tu implant no pesará como si estuvieras distribuyendo Node.js Sintaxis agradable: Es como Python pero que compila a C, dándote lo mejor de ambos mundos Evasión de AV: Los antivirus están entrenados para detectar C#, PowerShell, y Python. Nim todavía vuela bajo el radar Interoperabilidad con C: Puedes llamar a las APIs de Windows sin venderte el alma al diablo Así que sí, v…  ( 10 min )

Why the Next Unicorns Will Be Built With 5 People and AI Jaideep Parashar ・ Nov 25 #ai #productivity #performance #devops  ( 7 min )

This post breaks down how we deploy TensorFlow Lite Micro (TFLM) on ESP32-S3 to run real-time wake word detection and other edge-AI workloads. ESP32-S3 brings a useful combination of: Xtensa LX7 dual-core @ 240 MHz Vector acceleration for DSP/NN ops 512 KB SRAM + PSRAM options I2S, SPI, ADC, UART Wi-Fi + BLE It’s powerful enough to run quantized CNNs for audio, IMU, and multimodal workloads while staying power-efficient. 1. Audio front-end I2S MEMS microphones (INMP441 / SPH0645 / MSM261S4030) 16 kHz / 16-bit / mono 40 ms frames (~640 samples) Preprocessing steps: High-pass filter Pre-emphasis Windowing (Hamming) VAD (optional) ESP-DSP supports optimized FFT, DCT, and filtering primitives. 2. Feature extraction (MFCC) FFT Mel filter banks Log scaling DCT → 10–13 coefficients On ESP32-S3, M…  ( 7 min )

We’re entering a new era of company building, one that doesn’t look anything like the venture-funded, 200-person startup model of the past decade. The next generation of billion-dollar companies won’t be built in glass offices, with huge teams, layers of management, and complex org charts. They will be built by 5 people and AI. This isn’t a slogan. Let me explain why this shift is happening, and why it’s inevitable. 1. AI Has Collapsed the Cost of Building Products Ten years ago you needed: frontend engineers backend engineers DevOps QA testers ML engineers data engineers designers content writers marketers Today, a 5-person team with AI can: design the entire product build the full stack generate content run customer support run marketing automate operations test features optimize workflo…  ( 11 min )

Imagine crafting materials with properties so exotic, they redefine what's possible. Think invisibility cloaks, energy sources beyond our wildest dreams, or ultra-fast processors operating at the speed of light. The problem? Designing structures at the nanoscale is incredibly complex and computationally expensive. Enter the nanophotonic foundation model. This is where AI takes the reins, learning the intricate relationship between a material's atomic structure and its resulting optical properties. It's like giving a supercomputer the keys to the materials science lab, allowing it to predict and design with unprecedented speed and accuracy. Essentially, we've built an AI that understands the 'language' of light and matter. By training it on a massive dataset of nanostructures and their opti…  ( 7 min )

Many people hear “AI” and instantly think of ChatGPT. AI: The Big Umbrella Let’s start from the top. Artificial Intelligence is the broadest term. AI includes many subfields: • Machine Learning • Deep Learning • Computer Vision • Natural Language Processing • Robotics • Expert systems ML: The Engine Behind Most “Old AI” Before ChatGPT, the AI powering our world was mostly Machine Learning. ML is simply this: Models learn patterns from data and make predictions — without being explicitly programmed. For almost 20 years, ML quietly powered: And here’s the interesting part: They were mathematical prediction systems: This was the AI that shaped the modern internet long before LLMs arrived. LLMs: The New Evolution of AI This changed everything. Suddenly, AI could: This is where LLMs (Large Language Models) came in. LLMs like ChatGPT, Claude, Gemini, and Llama aren’t just tools, they’re a new category of AI entirely. In short: ML predicted. The Whole Relationship: AI is the field. ML is a major branch inside AI. LLMs are one specific type of ML model focused on language  ( 7 min )

Tableau has consistently been recognized as one of the world’s leading Business Intelligence (BI) and data visualization tools. It has been named a Leader in Gartner’s Magic Quadrant for Analytics and BI Platforms for six consecutive years, and for good reason. Tableau allows anyone—from business users to data analysts—to create interactive, high-impact visualizations with effortless drag-and-drop actions. Most analysis in Tableau doesn’t require coding at all, and even complex transformations can be built with its powerful calculation engine. Understanding Tableau–R Integration How to Integrate Tableau and R Step 1: Run R and Load the Rserve Library This starts the Rserve engine on your machine. Step 2: Connect Tableau to R Step 3: Load Data into Tableau Step 4: Run R Script Through a Cal…  ( 9 min )

JavaScript Clean Code Mastery: Part 7 - Real-World Refactoring and Tools (Series Finale!) We Made It! The Final Chapter Over the past 6 parts, we've transformed how you write JavaScript: Part 1: Meaningful names and variables Part 2: Clean functions Part 3: Modern JavaScript features Part 4: Async/await and error handling Part 5: Array methods and immutability Part 6: Code structure and logic flow Today, we're bringing it all together with a complete real-world refactoring and the tools that enforce clean code automatically. Today's Mission: Refactor a messy shopping cart from scratch Set up ESLint for automatic error detection Configure Prettier for consistent formatting Add Husky pre-commit hooks Test clean code Your clean code action plan Let's finish strong! // cart.js - A…  ( 12 min )

A practical guide to lazy regex compilation, efficient string manipulation, publishing production-ready Rust crates, and how I discovered that building a Rust and Regex based code library can actually be even more frustrating that it sounded initially - so hopefully my tears will fuel your dev joy. If I wasn't already bald, the last 5 years of wrangling integrations with AI LLM build outs would have ensured that my trips to the barber were no longer needed. Topping my list of frustrations has been those annoying and ever present AI generated citations. It's gotten to the point that now I picture them smirking as they send me back the response, their GPUs powered by the anger and stress they have figured out how to extract from my 2am rants each time I read their 'reasoning' literally readi…  ( 14 min )

Daily Tech News Roundup Today's tech headlines cover everything from the evolving gig economy in India to the latest advancements in AI and even a potential shift in device interaction. We'll also touch on rising RAM prices and the latest shopping feature from ChatGPT. Let's dive into the top stories. India's Gig Workers Gain Legal Recognition India's gig economy is undergoing a significant transformation with new labor laws granting gig workers legal status. While this is a step in the right direction, access to crucial social security benefits remains a challenge. The implementation and expansion of these benefits will be critical for the long-term well-being of India's growing gig workforce. Source Find the Best Noise-Canceling Headphones Looking for some peace and quiet? The Verge has …  ( 7 min )

So, you're wondering if a chatbot can handle multiple languages? It's a pretty common question these days, especially with businesses trying to reach folks all over the globe. Think about it, if your customers speak Spanish, or French, or Japanese, you want your bot to be able to chat with them without a hitch, right? It's not just about translating words; it's about making people feel understood. We're going to look at how these bots work and what makes them good at talking in different tongues. Chatbots can indeed handle multiple languages, making global customer interaction much easier. Implementing multilingual support involves strategies like training a single bot for various languages or using AI for cross-language communication. Effective multilingual chatbots need strong Natural La…  ( 18 min )

If you're still coding the old way, you're falling behind. Let me show you Cursor AI 2.0 - the tool that's revolutionizing how developers write code. Cursor is an AI-powered code editor built on VS Code. But it's not just another code assistant - it's like having a senior developer sitting next to you 24/7. Cursor 2.0 ships with Composer, a purpose-built coding model that understands your entire codebase, not just the current file. Spin up multiple AI agents that work on separate branches simultaneously. Imagine having AI pair programmers in isolated environments opening PRs for you! The agent can interact with a real browser to: Compare your app to reference screenshots Capture console errors and network traces Debug UI issues automatically Before diving into code, Cursor asks clarifying questions and creates a structured plan. No more "vibes-only" coding. Find and fix bugs directly in the editor. It analyzes your changes and surfaces issues before you push. # Download from cursor.com # It's built on VS Code, so your extensions work! Developers who want to ship faster Teams working on complex codebases Anyone tired of context-switching between docs and code Free tier: Great for trying it out Pro ($20/month): Unlimited Tab completions + $20 frontier model credits Download: cursor.com Drop a comment if you've tried Cursor - I'd love to hear your experience! Follow me for more AI tools that boost developer productivity.  ( 7 min )

Welcome to the Final Stretch! In Part 5, we mastered arrays and immutability. Today, we're tackling the structure that makes code easy or impossible to read: logic flow and conditional statements. I once debugged a function with 8 levels of nested if-else blocks. Eight levels. Tracing through the logic felt like navigating a maze blindfolded. Refactoring it with guard clauses cut nesting from 8 levels to 2—and made the bug obvious. Today's Mission: Use guard clauses to reduce nesting Write early returns for clarity Avoid deep if-else pyramids Make code self-documenting Eliminate unnecessary complexity Let's flatten your logic and make it crystal clear. The Problem: Deep nesting makes code hard to follow. function processPayment(user, amount) { if (user) { if (user.isActive) { …  ( 11 min )

With generative AI and coding agents, we're producing code at unprecedented speed while accumulating dependencies to match. Evidence now shows AI doesn't just suggest dependencies: it hallucinates ones that don't exist. In this case, a package called "huggingface-cli" was downloaded thousands of times, including by teams at Alibaba, before anyone realized it was completely fictitious. Each hallucinated package name becomes a supply chain vulnerability waiting to be exploited, with attackers racing to register them before developers discover the mistake. But hallucinations are just one risk in this acceleration of code generation. Even with legitimate packages, the speed creates problems. In the past, platform and security teams could influence dependency choices through documentation, appr…  ( 8 min )

Welcome Back, Code Cleaners! In Part 4, we conquered async/await and error handling. Today, we're tackling something that separates junior developers from senior developers: mastering array methods and immutability. I once reviewed code with 47 for-loops. Forty. Seven. The file was 800 lines of nested loops, mutated arrays, and index tracking variables. Refactoring it with array methods cut it down to 200 lines—75% less code that was 10x more readable. Today's Mission: Replace loops with map, filter, reduce Master immutable array operations Avoid mutation bugs Chain array methods elegantly Know when NOT to use array methods Let's transform your loops into clean, declarative code. The Problem: Manual loops for transforming data are verbose and error-prone. const users = [ { name: 'alice…  ( 14 min )

You can debug complex distributed systems. You've optimized algorithms to run in O(log n) time. You understand how neural networks train on backpropagation. But your resume keeps getting rejected before it reaches a human reviewer. Here's the frustrating reality: 75% of large tech companies use Applicant Tracking Systems (ATS), and up to 80% of resumes get filtered out before a recruiter ever sees them. Your technical brilliance doesn't matter if your resume can't pass the keyword filter. The problem isn't your skills. It's that you're optimizing for the wrong system. Most developers treat their resume like documentation- comprehensive, technically precise, focused on implementation details. But Applicant Tracking Systems and recruiters are looking for something different. This guide shows…  ( 16 min )

Everything Wrong With The Wiz In 15 Minutes Or Less is CinemaSins’ latest snarky deep-dive into the 1978 take on Oz, timed to ride the buzz of Wicked’s theatrical return. In just 15 minutes they rip through plot holes, nitpicks and “sinful” moments, all wrapped up in the channel’s trademark humor. They also drop links to their main site, YouTube spinoffs (TVSins, Commercial Sins, Podcast Network), a sinful poll, Patreon support and a roundup of the writing team. Plus, there’s Discord, Reddit, Instagram and TikTok invites so you can get even more Cinemasins content. Watch on YouTube  ( 6 min )

はじめに 正直に言うと、APIテストを書くのは地味に手間がかかります。 そんなとき、「ApidogでAIがテストケースを自動生成できる」と聞いて、 Apidogは、APIの設計・ドキュメント・テスト・モック・管理をひとつのプラットフォームで完結できるオールインワンのAPI開発ツールです。 Postman、Swagger Editor、Mockサーバー、APIテストなど 最近はAIによるテストケース自動生成にも対応し、テスト設計の初稿づくりを大幅に効率化できます。 手動でテストケースを作成するとき、いつもこんな悩みに直面していました： 網羅性を確保するのが難しい 仕様変更があるたびに更新が必要 チームによって粒度や書き方がバラつく 特に異常系や境界値を漏らしやすい 「AIが初稿を作ってくれるなら、この負担が軽くなるかも」と思ったのが使い始めたきっかけです。 APIを定義したあとに 「テストケース」タブ を開くと、中央付近に 「AIで生成」 ボタンがあります。 クリックすると、次の画面で生成したいテストタイプを選べます： 正常系 異常系 境界値 セキュリティ 一括生成も、必要な種類だけを選択して生成も可能です。 採用／破棄 を選んで最終調整します。 テストレポートをエクスポートしてチームで共有することもできます。 ちょっとしたポイント 生成後は必ずレビューする（誤解・抜け漏れ防止） 生成精度は使うAIモデルの性能に依存 AI機能は初回のみ有効化が必要 特に異常系や境界値は完全ではないので手動補完が必要 Apidog自体はAIモデルを提供していません。 OpenAIやClaudeなど任意のAIモデルのAPIキーを設定する必要があります。 ここで重要なのは、AIが生成するテストケースの精度はモデルの性能によって決まる ということです。 生成内容はあくまで下書き そのまま流すのではなく、レビューして業務ロジックに合わせて微調整します。 時間を大幅に節約できる 数分で十数件の初稿が出るので、ゼロから手で書くより効率的です。 実務向きだが万能ではない 特にビジネスロジック依存のケースは、AIだけでは完全にはカバーできません。 プロジェクト初期や大規模変更時にAIで初稿を作る コアロジックや重要なパスは手動で補完 レビューと調整でテスト品質を確保 CI/CDに統合して、生成したケースを継続的に利用 今回の体験で感じたのは、AIに丸投げするのではなく、AIと協力してテストを作る ということです。 AIが下書きを作ってくれることで、 テストの質とスピードがどちらも向上しました。 忙しい開発者ほど、 一度AI生成で試してみる価値は十分にあると実感しました。 この記事が役に立ったら、ぜひシェアしてください。 質問やコメントがあれば、お気軽にどうぞ。 https://docs.apidog.com/jp/apidog%E3%81%AEai%E6%A9%9F%E8%83%BD%E6%A6%82%E8%A6%81-1237382m0 https://docs.apidog.com/jp/%E3%83%86%E3%82%B9%E3%83%88%E3%82%B1%E3%83%BC%E3%82%B9%E3%81%AE%E8%87%AA%E5%8B%95%E7%94%9F%E6%88%90-1625320m0  ( 6 min )

「え、これマジ？」AIとAPIの融合で開発が激変する瞬間 みなさん、こんにちは！最近、開発現場でAIの波が押し寄せてきてますよね。私も昨日までは「AIなんて、まだまだ実用レベルじゃないでしょ」なんて思ってたんですが...衝撃的な体験をしてしまいました。それが今日お話しする「Apidog MCPサーバー」との出会いです。 いま、ソフトウェア開発の世界は大きな転換点に立っています。AIが私たちのコーディング方法を根本から変えようとしているんです。その中でも特に注目すべきなのが「モデルコンテキストプロトコル（MCP）」。これ、マジですごいんですよ！ MCPって何かというと、AIコーディングアシスタントと外部知識ソースをスマートに繋ぐ革新的な技術なんです。ちょっと難しく聞こえるかもしれませんが、簡単に言うと「AIに必要な情報をピンポイントで与えられる仕組み」です。 従来のAIは訓練データの範囲内でしか答えられませんでしたが、MCPを使えば、AIが外部アプリから専門情報に直接アクセスして、それを理解して活用できるようになるんです。これにより、特定の開発タスクでAIの精度と効率が劇的に向上します！ 先週、チームのAPIドキュメント管理に頭を抱えていた私。複雑なエンドポイントの実装で、仕様書とコードを行ったり来たりする日々...。そんな時、先輩から「Apidog MCPサーバー使ってみたら？」と声をかけられたんです。 Apidogが開発したこのMCPサーバーは、API開発に特化した実装なんです。これがすごい！API仕様とAIコーディングアシスタントの間に直接的な橋を架けて、開発者が「バイブコーディング(Vibe coding)」と呼ばれるフロー状態に入れるようにしてくれます。 「バイブコーディング(Vibe coding)」って何？って思いますよね。これは、あなたが創造的な問題解決に…  ( 6 min )

The rise of AI powered search engines. Which one really comes out on top in 2025. Search is changing pretty quickly these days. People are shifting from chasing keywords and clicking through those old blue links. They want direct answers right away. Summaries help too. Insights make sense. Citations add trust. Even full research reports show up now. I took the last few weeks to try out the big names in AI first search engines. These are not just chatbots. They mix AI thinking with actual indexed results from the web. Some things really caught my eye. Perplexity stands as the most solid player in AI search at the moment. It runs fast. Answers feel accurate. Citations back everything up. This setup works great for quick overviews. Fact checks come easy. It struggles a bit with multi step t…  ( 8 min )

LinkedIn Post I'm writing a book: "The Agent Paradigm" After building AI agents for the past 2 years, I realized something: Most developers are learning agents wrong. They jump into frameworks. Copy code from tutorials. Build demos that break in production. But nobody explains the paradigm shift that's actually happening. The full chapter list: 0: The Automation Story 1: The Paradigm Shift 2: The Agent Loop 3: Prompts & Instructions 4: Tools 5: Context Engineering 6: Events & Plugins 7: Multi-Agent Systems 8: Trust & Safety 9: ML & Model Development 10: Evaluation & Error Handling 11: Deployment 12: Design Principles 13: The Future Each chapter covers: → What problem it solves → How different approaches handle it → Landscape analysis (companies, trends) → Concrete opportunities Who it's for: Developers who want to understand agents deeply Founders evaluating the agent space Investors spotting real opportunities vs. hype I need your help: Which chapter do you want me to finish first? Comment below with the chapter number (0-13), and I'll prioritize based on what you want to read. Follow along: → Docs: https://docs.connectonion.com → GitHub: https://github.com/connectonion/connectonion → Discord: https://discord.gg/4xfD9k8AUF AIAgents #LLM #ArtificialIntelligence #SoftwareEngineering #Startups  ( 6 min )

Originally published at https://www.nocobase.com/en/blog/a-developers-technical-decision-guide-to-no-code-and-low-code For years, low code and no code tools have been dismissed as something “meant for non-developers.” Today, as these platforms grow more capable — with data modeling, permission systems, and plugin-based extensions — and as AI advances at an explosive pace, we are entering a new technological moment. AI is taking over repetitive coding faster than ever. 💡 Read More: Top 20 Open Source AI Projects with the Most GitHub Stars LLM are becoming junior-level code generators, able to produce components and basic logic directly. In this landscape, low code and no code platforms are no longer simple drag-and-drop builders. They have become structured, governable interfaces for colla…  ( 10 min )

In design thinking, understanding users is always the foundation of creating meaningful products! From the very first stages, UX researchers rely on interviews, observations, and data analysis to uncover what users need and why they behave in a certain way.  However, as digital products grow more complex and user expectations continue to rise, the research process has become heavier. Teams now face the challenge of processing large volumes of data to understand user needs and uncover meaningful patterns. This is where AI is beginning to reshape the workflow. Instead of spending hours sorting feedback or identifying patterns manually, AI helps teams analyze data faster, reveal deeper insights, and focus more on strategic decision-making. In this blog, we’ll explore how to use AI tools for U…  ( 14 min )

Overview By migrating our email system's search functionality from traditional LIKE queries to PostgreSQL's full-text search, we achieved up to 71% performance improvement. This article details the implementation approach using GIN indexes and tsvector for 260,000 existing records, along with a non-blocking migration strategy. PostgreSQL (Full-Text Search) Prisma ORM TypeScript tsvector / GIN Index websearch_to_tsquery() Initially, the email search feature was implemented using simple LIKE queries: // Traditional LIKE search (simplified) const emails = await prisma.email.findMany({ where: { OR: [ { subject: { contains: keyword } }, { fromName: { contains: keyword } }, { bodyText: { contains: keyword } } ] } }); However, as data volume exceeded 260,000 recor…  ( 12 min )

Redis has become a foundational component in modern software systems. Whether you are building high-traffic web applications, real-time analytics, distributed systems, or simple caching layers, Redis consistently stands out for one reason: speed. In this article, we will explore Redis from the ground up—its architecture, data structures, use cases, persistence options, scalability, and best practices. By the end, you will understand why Redis is one of the most trusted technologies in production environments around the world. Redis (REmote DIctionary Server) is an in-memory key–value data store that supports powerful data structures and extremely low-latency operations. Unlike traditional databases that rely heavily on disk I/O, Redis keeps data in RAM, making it exceptionally fast. Redis …  ( 8 min )

How We Built Ad Injection That Users Actually Appreciate: Meet Monetzly In the fast-paced world of AI application development, monetization often feels like a daunting challenge. Developers want to focus on creating innovative solutions, but the pressure to generate revenue can lead to disruptive user experiences. Enter Monetzly—the first platform where developers can both monetize their AI apps and earn from hosting relevant ads, all while maintaining a seamless user experience. As AI applications explode in popularity, many developers find themselves asking: How can I monetize my app without compromising the user experience? Traditional methods, like subscriptions or paywalls, can alienate users, leading to higher churn rates. At Monetzly, we’ve engineered a dual-earning platform tha…  ( 7 min )

Organizations adopting LLMs at scale often struggle with fragmented API usage, inconsistent authentication methods, and lack of visibility across teams. Tools like Gemini CLI make local development easier, but they also introduce governance challenges—especially when authentication silently bypasses centralized gateways. In this article, I walk through how to route Gemini CLI traffic through LiteLLM Proxy, explain why this configuration matters for enterprise environments, and highlight key operational considerations learned from hands-on testing. Before diving into configuration, it’s worth clarifying why an LLM gateway is needed in the first place. If developers run Gemini CLI with default settings: Authentication may fall back to Google Account login → usage disappears from organization…  ( 8 min )

AI's impact on white-collar jobs and layoffs is reshaping office life in palpable ways. Picture an open plan office where rows of cubicles blur into streams of code and dashboards. Algorithms flag redundant tasks and digital assistants draft reports in seconds. As a result, middle-management spreadsheets shrink and hiring plans face harsh review. Many knowledge workers now share their schedules with chatbots and automation routines. However, this shift does not erase human judgment or creativity. Instead, teams reorganize around strategy, empathy, and complex problem solving. Because AI handles data-heavy chores, roles focused on nuance gain value. But layoffs follow where firms chase efficiency without reskilling staff. Therefore managers must act quickly to retrain employees and redesign…  ( 15 min )

HTTP vs HTTPS vs TCP vs UDP: Finally Understand The Difference! 🏗️ If you've ever felt confused about these four acronyms that rule the internet, you're not alone. Most explanations get stuck in technical jargon, but today I'll give you a mental model that will make everything click forever. Here's the analogy that changes everything: This is the TRANSPORT LAYER - it decides HOW data moves between systems. TCP = Moving Truck (reliable, ordered, confirms delivery) UDP = Bike Messenger (fast, no guarantees, fire-and-forget) Why it comes first: Everything else gets built on top of this foundation. This is the APPLICATION LAYER - it defines WHAT the data means and how applications talk. HTTP = Open Floor Plan (everything visible, no security) HTTPS = Fortified Rooms (encrypted, secure, auth…  ( 8 min )

Look at this bad boy I cooked up to extract a folder location from an error handling XD def extract_cwd(data): import re match = re.search(r'File "(.*?\.py)", line \d+, in ', data) if match: print(f"Current Working Directory (CWD): {match.group(1)}") else: print("CWD not found in the traceback string.") try: crash except Exception as e: from traceback import format_exc extract_cwd(format_exc()) # Output - :> Current Working Directory (CWD): path/to/script I also made a smaller version using subprocess, just change cd to pwd if on linux def extract(): from subprocess import run return run("cd", shell=True, check=True, capture_output=True, text=True, encoding='utf-8') That is all, thanks for tuning in.  ( 6 min )

Sometimes it feels like building software isn’t the hard part — rebuilding the same integrations over and over is. Every time I started a new project, I found myself: Searching for the same API docs Copy-pasting an old webhook handler Debugging the same auth flow Fixing missing env variables Rewriting the same config boilerplate None of it moved the project forward. It was just the tax you paid before the real work began. So I asked myself: "Why isn't there a reusable, production-ready playground of integrations for Next.js?" There wasn’t — so I built one. One place to grab verified real-world integrations Webhooks already implemented and tested Verified auth flows TypeScript-first patterns Examples that matched how modern Next.js apps are built Not tutorials. Not copy-paste snippets. Actual working building blocks. That’s what became Integrate API — a toolkit plus a Chrome extension that helps you ship integrations fast, without guessing. It now includes integrations for: Stripe Supabase SendGrid Liveblocks Meilisearch UploadThing And 10 more This saves time — and honestly sanity. If you're curious: 👉 https://integrateapi.io Would you want a feature like "generate integration per project type"? I’m exploring it — curious what devs think.  ( 6 min )

=intSum =doubleSum =toString =toInteger =toLong =toDouble =toBoolean =size =join =substring =abs, =ceil, =floor =divide, =multiply, =minus =toTimestamp =formatTimestamp These functions work only inside modify-overwrite-beta or modify-default-beta operations. 1. JOLT Modify Operations Overview There are two modify operations: 1. modify-overwrite-beta Replaces the existing value Can use functions (=intSum, =multiply, etc.) Used for math/string/date transformations 2. modify-default-beta Only sets value if missing Good for default initialization How to use functions? Syntax: "fieldName": "=functionName(arg1, arg2, ...)" Arguments can be: Literal values JSON values referenced via @(n,key) Other function outputs 2. MATH FUNCTIONS -------------------------------------- …  ( 8 min )

技術ブログにMermaidダイアグラムを導入した話【はてなブログ・DEV.to・Next.js対応】 はじめに 技術記事を書く時、フローチャートやシーケンス図があると格段に分かりやすくなりますよね。 今回、マルチプラットフォーム対応の技術ブログでMermaid記法によるダイアグラム表示に対応したので、その実装方法を紹介します！ 対応したプラットフォーム： 📝 はてなブログ - カスタムJavaScriptで対応 🌐 DEV.to - Mermaidを画像に変換して投稿 ⚡ Next.js（Vercel） - クライアントサイドレンダリング Mermaidは、テキストベースでダイアグラムを描けるJavaScriptライブラリです。 記述例: graph TD A[ユーザー] -->|記事を書く| B[Markdown] B -->|変換| C[Mermaid] C -->|レンダリング| D[ダイアグラム表示] シンプルなテキストで、こんな感じの図が描けます。めっちゃ便利！ はてなブログは標準でMermaidをサポートしていないため、カスタムJavaScriptで対応しました。 1) はてなブログの管理画面で「設定」→「詳細設定」を開く 2) 「headに要素を追加」に以下を貼り付け: .mermaid { background-color: #ffffff !important; padding: 20px; border-radius: 4px; margin: 20px 0; } .mermaid svg { background-color: #ffffff !important; …  ( 7 min )

The story of modern frontend frameworks has always revolved around change — how to detect it, represent it, and respond to it efficiently. React built its entire philosophy on a simple but powerful assumption: Changes in data and component state are unpredictable. To cope with this uncertainty, React introduced the Virtual DOM — But this design, while revolutionary in 2013, also came with a price. So here’s a question worth asking: What if that assumption was wrong? That’s the core idea behind Signals and Fine-grained Reactivity — This philosophy echoes what Ryan Carniato, the creator of Solid.js, often calls “reactivity without illusion.” In this 30-part series, we’ll dive deep into the mechanics, architecture, and design philosophy of Signals and fine-grained reactivity. Along the way, we’ll compare how frameworks like React, Vue, and Solid handle reactivity differently, This series is inspired by my open-source project, segnale-react, By the end of this journey, you’ll understand not just how Signals work, The next article begins right at the core — Stay tuned.  ( 7 min )

1. REAL-WORLD JOLT PATTERNS These patterns cover 95% of JSON transformation tasks. Flattening deep JSON into simple key/value JSON Input { "user": { "profile": { "name": "Alice", "age": 30 }, "address": { "city": "Dhaka", "zip": "1000" } } } Spec [ { "operation": "shift", "spec": { "user": { "profile": { "name": "name", "age": "age" }, "address": { "city": "city", "zip": "zip" } } } } ] Output { "name": "Alice", "age": 30, "city": "Dhaka", "zip": "1000" } Flatten unknown dynamic keys Input { "env": { "JAVA_HOME": "/opt/java", "PATH": "/bin:/usr/bin", "USER": "root" } } Spec …  ( 9 min )

Forget the hype train. If you want to create videos that actually tell a story, you need to stop waiting for Sora and start using Textideo. I have a confession to make. For the last six months, I’ve been suffering from "AI Fatigue." You know the feeling. Every morning, you open X (formerly Twitter) and see another mind-blowing demo. An astronaut swimming in coffee. A cinematic drone shot of a cyberpunk Tokyo. It looks incredible. It looks like the future. But when I actually tried to use these tools for my work, I hit a wall. I’m a content creator. I don’t need a 3-second clip of a cat flying a plane. I need to explain complex concepts. I need to visualize articles. I need narrative flow. When I tried to use the industry giants (you know the ones: Runway, Pika, the Luma Dream Machine), I…  ( 9 min )

CSS has come a long way from being a simple tool for styling text and backgrounds. Today, it’s a powerful language that supports built-in functions, allowing you to perform calculations, reuse values, manipulate colors, and even adapt designs based on context — all without JavaScript. In this post, let’s explore some of the most useful CSS functions and how they can transform the way you write styles. Just as functions in programming languages make code more dynamic, CSS functions let you generate and compute values on the fly. They can: Keep styles flexible and responsive Eliminate repetitive hard-coded values Enable theme switching and runtime adjustments Improve maintainability by avoiding “magic numbers” The calc() function allows arithmetic operations (+, -, *, /) directly in CSS. css…  ( 8 min )

As developers, we’re no strangers to the tradeoffs between 3D reconstruction quality, speed, and accessibility. For years, creating usable 3D assets required either expensive LiDAR hardware, complex multi-camera setups, or hours of manual touch-ups in Blender. But Meta’s sam3d is changing the game—let’s break down how this open-source tool turns a single RGB photo into high-fidelity 3D models, and why it’s a must-have for your next project. sam3d leverages two game-changing innovations: sam3d.world) to share tips, troubleshoot with fellow devs, and contribute to the open-source project. sam3d isn’t just advancing 3D reconstruction—it’s democratizing it. For developers tired of compromising on accuracy or accessibility, this tool opens up a world of possibilities—all from a single image. Have you tested sam3d yet? Share your project ideas in the comments, or tag a teammate who needs this in their toolkit! showdev #3d #ai #opensource #webdev #metaaiprojects  ( 7 min )

The horse half died by the time we came off the highland. That's why I don't name my horses. My boots had holes. My six was dry. Nothing in my pockets but metadata. What's a guy gotta do to get a drink in this town? Metadata is the wild west. A great example that goes beyond data is tags. A lot of you have probably noticed in AWS that tags are amazing. Amazingly hard to use well for any sizable project, let alone the enterprise. Same with the other cloud providers. Metadata is supposed to drive everything, ideally from metadata catalogs. But just you try figuring out how to capture consistent metadata across all your systems automatically so that they are up to date and consistent. Then you sit back and think, ok, I got that, so now what should I capture and how should I use it and how d…  ( 10 min )

AWS CDK Development: Best Practices and Workflow In the previous parts of this series, we covered Part1: AWS CDK fundamentals and Part2: components and commands. Now, let's explore how to structure your CDK projects effectively and implement best practices that will help you build maintainable infrastructure code. The typical AWS CDK development workflow follows these steps: Initialize a project with cdk init Edit the App definition to define your stacks Create stack definitions with the resources you need Write tests for your infrastructure code For the first deployment: Run cdk bootstrap to prepare your AWS environment Execute cdk deploy to deploy your resources For subsequent deployments: (Optional) Run cdk diff to check for changes Execute cdk deploy to update your resources Le…  ( 13 min )

Erase and Rewind: Surgically Removing Bias from AI Models Imagine your groundbreaking AI, trained on a massive dataset, suddenly exhibits unwanted biases – perhaps discriminating against a specific demographic. Retraining from scratch is a time-consuming and expensive nightmare. But what if you could surgically remove the problematic data's influence, leaving the rest of your model intact? The key is understanding how that specific data subtly warped the model's learning landscape. Geometric-Disentanglement Unlearning (GDU) is a technique that treats model updates as movements in a high-dimensional space. The core idea is to decompose the desired "forgetting" update into two components: one that affects the retained knowledge and one that doesn't. We surgically apply only the component o…  ( 7 min )

After receiving the Top Docker Author badge last week for my Offline AI post (thanks everyone! 🙏), many of you asked about my workflow for hardware and vehicle networks. So today, I'm switching gears from AI to Heavy Duty Vehicles. If you work with CAN Bus or SAE J1939 (Trucks, Buses, Machinery), you know the pain: Professional tools are expensive: A Vector CANalyzer license costs thousands of dollars. Hex dumps are unreadable: Seeing 18FEF100 means nothing unless you memorize the J1939 spec. Hardware dependency: You usually need a physical adapter (PCAN, Kvaser) just to test your code. To solve this, I built a Python-based J1939 Sniffer that decodes PGNs automatically and includes a Simulation Mode for hardware-free development. Standard CAN (11-bit) is simple. But J1939 uses 29-bit E…  ( 7 min )

Unlocking Sustainable AI Innovation: Monetize Your AI Conversations with Monetzly In a world where AI applications are multiplying at an astonishing rate, developers face a common challenge: how to monetize these innovations without disrupting user experience. What if there was a way to not only monetize your app but also earn revenue by hosting relevant ads? Welcome to Monetzly—the Google Ads for AI Conversations! Monetzly is designed to create a win-win-win scenario for developers, advertisers, and users. By establishing a three-sided marketplace, we connect developers who build AI-powered applications, advertisers seeking engaged audiences, and users who benefit from a more personalized experience. This unique approach ensures that everyone involved can thrive. One of the standout fea…  ( 7 min )

App URL: https://webfoundry.app/ (no account creation necessary) So this is my visual app builder Webfoundry, I used it to create a handful web apps including MEATEOR, the P2P Grindr alternative I posted about here: https://dev.to/guiprav2/a-completely-p2p-grindr-alternative-i-built-in-a-weekend-no-servers-no-accounts-webrtc-trystero-8dp This demo shows how the voice assistant is able to call GPT 5.1 Codex to generate beautiful HTML elements for your page on-demand based on voice specs. Other than that, Webfoundry has the following features: Fully Tailwind CSS-based design. WYSIWYG allows you to edit the actual HTML DOM visually; there's no vDOM and so it plays nicely with vanilla JS libraries, even jQuery, etc. Total JavaScript control with simple state management much unlike the horrors of React and others. Fully P2P realtime live collaboration both in the visual editor and the built-in code text editor. 2-click Netlify deployments right from the app. A few of bugs I've been procrastinating on fixing lately... Soon: Export app as a Windows/Linux desktop or Android Tauri application. It's hard to use at first but the learning curve is honestly not that steep, I'm willing to demo and handhold anyone interested in trying this out over a video call! Cheers! Gui  ( 6 min )

Nicole Forsgren just dropped a new book, and I absolutely CONSUMED it. It's called Frictionless: seven steps to help engineering teams move faster in the age of AI. Forsgren created DORA. She created SPACE. She wrote Accelerate, the book that fundamentally changed how we measure engineering performance. When Forsgren talks about engineering velocity, you listen. And, I hope I'm not oversimplifying, but my biggest take away is that "Most productivity metrics are systematically misleading." Lines of code? Blown away by AI. Deployment frequency? Useful for assessing pipeline health, but disconnected from whether your team is building the right things. Her three pillars of developer experience: And this resonates with me deeply. But I keep returning to one question. Where are the data engineer…  ( 11 min )

Even in the age of powerful IDEs, developers still live in the terminal. After a few years, everyone collects a bag of tricks—some painful lessons, some tiny optimizations—that quietly 2x your speed. This article skips the ls -la basics and goes straight to battle-tested commands and habits that genuinely changed my workflow (and made nearby teammates lean over and say: “You did what with just one command?”). When your server or laptop suddenly feels like it’s running in molasses, you need quick visibility: who’s hogging disk, CPU, or RAM? Top 10 space hogs in the current directory (one level deep) du -ah --max-depth=1 | sort -rh | head -n 10 Top 10 processes by CPU usage ps aux --sort=-%cpu | head -n 11 Top 10 processes by memory usage ps aux --sort=-%mem | head -n 11 This trio gives …  ( 10 min )

Hey all, Yesterday I had an idea: You know how LLM completions work, right? You pass in the model name, an array of messages, and optionally a list of tools and make a fetch request. So I thought, what if I put that in a loop where every tool call could return a completely new configuration for the request? It works like this. Note there are two configurations: xai and oai. xai is instructed to play dumb and try to answer 42, oai is instructed to write haikus. xai is only promoted to oai once it gets the right answer. import complete from './complete.js'; let tap = x => (console.log(x), x); async function looptools(init) { while (true) { let res = await complete(init.logs, { ...init, logs: undefined }); let tools = [...Object.entries(res.tools || {})]; if (tools.length && t…  ( 7 min )

Unlocking Elite Performance: The 7 Principles of Inner Excellence In the high-pressure world of sports and beyond, mental toughness is the key to unlocking elite performance. For decades, coaches and athletes have sought the secret to staying calm under fire, mastering pressure, and achieving greatness. Enter Jim Murphy, a top performance coach who has spent years studying the minds of champions and developing a proven system for achieving inner excellence. Murphy's groundbreaking book, Inner Excellence, shot to the top of the New York Times bestseller list overnight when star athlete A.J. Brown was caught reading it on the sidelines of a NFL playoff game. This unexpected endorsement sparked a global phenomenon, with athletes, business leaders, and individuals from all walks of life seek…  ( 8 min )

At a high level, GitHub is a website and cloud-based service that helps developers store and manage their code, as well as track and control changes to their code. To understand exactly what GitHub is, you need to know two connected principles: Version control What Is Version Control? At this point, WordPress is a pretty big project. If a core developer wanted to work on one specific part of the WordPress codebase, it wouldn’t be safe or efficient to have them directly edit the “official” source code. Instead, version control lets developers safely work through branching and merging. With branching, a developer duplicates part of the source code (called the repository). The developer can then safely make changes to that part of the code without affecting the rest of the project. Then, once…  ( 12 min )

Throughout my career, I've encountered array chunking in everything from pagination systems to batch processing jobs. What seems simple at first glance hides tricky edge cases that can silently corrupt your data—like out-of-bounds errors or inconsistent chunk sizes. Today, I'm going to show you my battle-tested algorithm for chunking arrays in Go—one that handles all those edge cases cleanly. Write a function that takes an array and a chunk size as input. The function should return a new array where the original array is split into chunk of the specific size. I like to start by breaking down the problem into three parts: input, process, and expected output. This way, I can identify the steps to go from A (the input) to B (the output). Input: The array to be split and an integer that indica…  ( 8 min )

MAWA - A programming language as simple in syntax as Python but as impressive as Assembler, it could be called Modern Assembler. Although I have talked about MAWA before, I haven't gone into much detail. In this post, I will discuss it and explain a MAWA command, how it works, and what it does. For those who did not read the first MAWA post, you can read it at this link: https://dev.to/samuel_leonardo_37aff38b4/mawa-el-lenguaje-de-programacion-del-futuro-2bjh My name is Samuel Leonardo Páez Garzón, I am Colombian, and I am 13.1 years old. MAWA is a language that is simpler than others, not only in terms of syntax, but also in terms of compilation, being similar to NASM with Assembler. An example of this is the C or C++ language in low-level mode, which uses a compiler to convert .c or .cpp…  ( 13 min )

Floating bottom sheets are one of the cleanest modern UI patterns in iOS. You see them in: Apple Maps Apple Music Stocks Reminders Shortcuts …and almost every modern iOS app. In this tutorial, we’ll build a smooth, draggable, snapping, blur-backed bottom sheet using pure SwiftUI. No UIKit. No hacks. No gesture bugs. Just clean 2026-style SwiftUI. A bottom sheet that: floats above your content has a blur background drags smoothly with your finger snaps to three positions (min / mid / full) has a soft spring animation supports scrollable content inside Perfect for dashboards, media players, maps, tools, or any modern app section. We track: @State private var offset: CGFloat = 0 @State private var lastDrag: CGFloat = 0 Then we: Apply a DragGesture() Calculate the drag dist…  ( 7 min )

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The effort is starting small, but Texas made an opening foray into a state-based crypto reserve — getting closer to the first government stockpile in the U.S.

Stellar breaks through critical $0.2460 level as institutional flows drive measured accumulation above seven-day averages.

Acting Chairman Caroline Pham said the group will help usher in a new era of market structure, including a focus on digital assets.

The strong price action occurred on below-average volume.

The nation's fifth-largest commercial bank explores how a bank can issue stablecoins on a public blockchain.

The token's price action points to fading buyer interest, with initial strong trading activity giving way to a sharp decline in participation.

Binance allegedly facilitated the transfer of over $1 billion to sanctioned entities including Hamas and Iran's Revolutionary Guard Corps, a lawsuit said.

Internet Computer climbed through the crucial $4.20 resistance level on elevated volume before late-session consolidation narrowed gains.

Increased trading volume carried BONK through a major resistance threshold before late pullbacks shaped a new support band.

Gains in AI-fueled stocks and heavy crypto leverage have widened the gap between bitcoin and equities.

Polymarket’s amended CFTC designation paves the way for the prediction-market platform to formally reopen in the U.S. with a fully regulated exchange structure.

The U.S. stablecoin law prohibits paying interest on stablecoins, but Anchorage aims to offer a template to distribute yield-like rewards to token holders to stay compliant.

The crypto payments firm joins an elite group with both a BitLicense and Trust Charter, gaining legal authority to custody assets and offer OTC trading under NYDFS oversight.

The move aims to position Paxos to serve growing institutional demand for on-chain asset issuance and stablecoin payments.

The altcoin carved out a $0.21 trading range, marking 9% intraday volatility as bearish forces gained control.

The country's largest crypto exchange said the Financial Intelligence Unit has been wrong in the past and had actions overturned in court.

Trading volumes reached nearly 2,000 lots traded on day one, representing about $35 million in notional value.

Digital bank Klarna's stablecoin, issued by Stripe’s Bridge on top of the upcoming Tempo blockchain, is set to debut next year.

Bitcoin Cash (BCH) fell 6.3% and Polkadot (DOT) dropped 5.8%, leading the index lower from Monday.

Today’s uncertain macroeconomic climate has created an environment where corporate leaders are desperate to look innovative – Bitcoin treasuries give them a way to do that, without fixing their broken business models, says Tony Yazbeck, co-founder of The Bitcoin Way.

The acquisition pushes the crypto-wallet maker toward a more fintech-style business model.

The digital-asset infrastructure provider will help secure and govern the Canton Network while expanding custody services for institutions.

Price consolidation continues near key support as volume activity remains elevated above weekly averages.

Your day-ahead look for Nov. 25, 2025

BTC drifts or stabilizes during Asia trading hours, softens slightly during the European handover and then absorbs most of its losses once U.S. equity markets open.

Bitcoin recaptured $87,000 on Tuesday as improving risk appetite and a strong equities session helped lift major altcoins.

The Japanese company executed new borrowing as part of its expanding bitcoin focused funding strategy.

A sharp drawdown has pushed BTC towards heavy put positioning at $80,000 ahead of Friday’s expiry.

Derivatives metrics show rising bearish positioning followed by a sharp reduction in open interest, while price recovery hints at early squeeze dynamics.

Bridgepoint did not disclose the financial terms of the deal. Sky News cited a figure of 200 million pounds ($262 million).

Monad’s listing illustrates how low-float launches can anchor valuation even when macro conditions point in the opposite direction, leaving traders mispricing outcomes that hinge more on supply than on sentiment.

Japan's Financial Services Agency is set to require digital asset exchanges to maintain liability reserves to protect users.

The registration comes as Australian regulators tighten scrutiny on offshore crypto platforms, with ASIC stating that many digital assets may require licensing to operate.

ETF analysts characterized the launch as another major inflection point for memecoin legitimacy, with early volume estimates near $11 million.

Technical indicators suggest a bullish trend, with XRP testing a major descending channel that could lead to further gains.

The strategy bets on a measured rally into the year-end, rather than a record-breaking surge.

Rising odds of a Fed pivot helped calm crypto markets, while QCP and Glassnode point to a reset in leverage, fading sell pressure, and early signs of a bottoming structure as traders hedge both downside and late-year upside.

2025 has been a super productive year for the global freeCodeCamp community. As we start our 12th year as a community, we’re firing on all cylinders, pushing forward more steadily than ever. This year we made substantial improvements to the new Full ...  ( 8 min )

Every app that handles user accounts needs a way to confirm who’s who. That’s what authentication is for, making sure the person using an app is the person they claim to be. But doing this securely is harder than it sounds. Traditional methods often ...  ( 15 min )

Flexbox is a powerful CSS feature that lets you build user interfaces that fit any screen size. freeCodeCamp just published a Flexbox for beginners course where you'll learn the concepts and code syntax by building your own website navigation bar. If...  ( 4 min )

Developers are smart, wonderful people, and they’re some of the most logical thinkers you’ll ever meet. But we’re pretty terrible at naming things 😂 Like, what in the world – out of every other possible name, they decided to name a database after a ...  ( 87 min )

It may seem like everyone is a vibe coder these days, and prompting seemed like it would become the new coding. But is this AI-generated code really deployable? Bragging on social media about a clever script is one thing, but pushing a vibe coded app...  ( 12 min )

If you're learning JavaScript, you've probably heard the term "closure" at some point. In many developers' experience, just hearing this word can trigger anxiety. In nearly 17 years of programming experience, I've noticed that closures are one of the...  ( 38 min )

President Donald Trump’s new “Genesis Mission” unveiled Monday is billed as a generational leap in how the United States does science akin to the Manhattan Project that created the atomic bomb during World War II. The executive order directs the Department of Energy (DOE) to build a “closed-loop AI experimentation platform” that links the country’s 17 national laboratories, federal supercomputers, and decades of government scientific data into “one cooperative system for research.” The White House fact sheet casts the initiative as a way to “transform how scientific research is conducted” and “accelerate the speed of scientific discovery,” with priorities spanning biotechnology, critical materials, nuclear fission and fusion, quantum information science, and semiconductors. DOE’s own re…

OpenAI expanded its data residency regions for ChatGPT and its API, giving enterprise users the option to store and process their data closest to their business operations and better comply with local regulations. This expansion removes one of the biggest compliance blockers preventing global enterprises from deploying ChatGPT at scale. Data residency, often an overlooked piece of the enterprise AI puzzle, processes and governs data according to the laws and customs of the countries where it is stored.  ChatGPT Enterprise and Edu subscribers can now choose to have their data processed in:  Europe (European Economic Area and Switzerland) United Kingdom United States Canada Japan South Korea Singapore India Australia United Arab Emirates OpenAI said in a blog post that it “plans t…

Earlier in the month, IQOO said that it was bringing the self-named IQOO 15 onto our shores, but fell short of providing a specific date for the event. Until now. The vivo sub-brand has officially confirmed that the phone will launch on 9 December. As a quick primer, the phone is equipped with a Snapdragon […] The post IQOO 15 Gets 9 December Launch Date In Malaysia appeared first on Lowyat.NET.  ( 33 min )

Apparently, Microsoft is not quite done with Crocs. Following the launch of Windows XP-themed slip-ons last month, the tech conglomerate has partnered with the footwear company to release a new pair of foam clogs. This time, the shoes have an Xbox theme to commemorate the 20th anniversary of the Xbox 360. As you would imagine, […] The post This New Pair Of Crocs Is Themed After The Xbox appeared first on Lowyat.NET.  ( 33 min )

The Google Pixel 10 Pro Fold has been out and about for some time now, and unlike the search engine’s first foldable, this year’s model is also out and about in Malaysia. But unlike its rivals that made their debut a lot earlier in the year, the company has certainly taken their sweet time with […] The post Google Pixel 10 Pro Fold Review: The Foldable With The Tensor appeared first on Lowyat.NET.  ( 50 min )

Huawei has unveiled the Mate X7 as its latest foldable smartphone in China, succeeding the Mate X6. Compared to its predecessor, the new handset comes with slightly bigger screens, among other improvements. Starting off with the display, the Mate X7 sports an 8-inch LTPO OLED inner display with a 2,416 × 2,210 pixel resolution. Meanwhile, […] The post Huawei Mate X7 Debuts In China With 8-Inch Inner Display, 50MP Cameras appeared first on Lowyat.NET.  ( 34 min )

ShopeePay is expanding its SPayLater offering with a new financing option aimed squarely at Malaysians looking to buy a motorcycle. Simply known as SPayLater Motorcycle, the service takes the platform’s existing Shariah-compliant installment model and extends it to vehicle purchases, giving users a fully digital and more accessible alternative to traditional bank loans. Through this […] The post ShopeePay Introduces SPayLater Motorcycle, Offering Shariah-Compliant Bike Financing appeared first on Lowyat.NET.  ( 34 min )

The third-generation Range Rover Evoque is set to arrive as a fully electric vehicle built on the Jaguar Land Rover Electrified Modular Architecture (EMA). An electric Evoque was first proposed in JLR’s ambitious Reimagine strategy in 2021. However, the new EV isn’t expected to debut until at least the end of 2027, with customer deliveries […] The post Next Generation Range Rover Evoque To Be Full-On EV appeared first on Lowyat.NET.  ( 34 min )

The SAIC-Audi joint venture brand, AUDI, recently unveiled its E SUV Concept at the Guangzhou Auto Show. According to the automaker, the concept is a preview of the brand’s second model, the AUDI E8 SUV. AUDI, styled in capital letters and without the iconic four-ring logo, is currently a China-only brand and launched in November […] The post China’s AUDI Unveils E SUV Concept At Guangzhou Auto Show appeared first on Lowyat.NET.  ( 35 min )

The JBL Grip is now officially available in Malaysia. Designed for the outdoors, the ultra portable speaker is designed to produce powerful sound while weathering the elements and hard knocks, literally. “The new JBL Grip is your music’s new co-pilot. It is built like a tank, seriously: waterproof, dustproof, and drop-proof (it will survive concrete). […] The post JBL Grip Now Available In Malaysia; Retails For RM599 appeared first on Lowyat.NET.  ( 33 min )

Hyundai’s luxury brand Genesis recently unveiled its first production high-performance model, the GV60 Magma, at the brand’s global Magma world premiere. Alongside the fully electric (EV) crossover SUV, Genesis also showcased the Magma GT Concept, hinting at the future direction of its performance sub-brand. Since the GV60 Magma is based on the standard GV60 EV, […] The post Genesis Unveils GV60 Magma; Its First High-Performance EV appeared first on Lowyat.NET.  ( 35 min )

The government is studying a proposal to introduce a mandatory floor price for courier services, revealed Communications Minister Datuk Fahmi Fadzil via a written reply in Parliament today. He said the idea is still being evaluated through a cost audit and a review of the industry’s pricing structure to ensure any minimum rate would support […] The post Government Mulls Mandatory Floor Price For Courier Services appeared first on Lowyat.NET.  ( 34 min )

It looks like OnePlus is still not done with 2025 yet, as it had just recently revealed three more devices that are coming soon. Slated to launch in select markets next month is the OnePlus 15R, the Pad Go 2, and the Watch Lite. The OnePlus 15R is a new entry to the brand’s current […] The post OnePlus 15R, Pad Go 2, And Watch Lite Officially Unveiled appeared first on Lowyat.NET.  ( 34 min )

The HONOR 500 lineup has officially debuted in the brand’s home market. Featuring a base model and a Pro variant, the two new smartphones get a whole new look compared to their predecessors. This is thanks to the redesigned camera module, which seems to take inspiration from a certain American phone maker. Both handsets measure […] The post HONOR 500 Series Launches In China appeared first on Lowyat.NET.  ( 35 min )

A solo Bitcoin miner recently scored a one-in-180 million chance when they got a chance to solve a pretty hefty block. And hefty it was, as their mining efforts netted them a reward of US$270,000 (~RM1.12 million). At the time of writing, the value of a single Bitcoin is currently rated at RM362,944, their earning […] The post Solo Bitcoin Miner Scores Block Worth US$270,000 appeared first on Lowyat.NET.  ( 33 min )

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. What’s next for AlphaFold: A conversation with a Google DeepMind Nobel laureate In 2017, fresh off a PhD on theoretical chemistry, John Jumper heard rumors that Google DeepMind had moved on from game-playing…  ( 22 min )

For decades, business continuity planning meant preparing for anomalous events like hurricanes, floods, tornadoes, or regional power outages. In anticipation of these rare disasters, IT teams built playbooks, ran annual tests, crossed their fingers, and hoped they’d never have to use them. In recent years, an even more persistent threat has emerged. Cyber incidents, particularly…  ( 17 min )

Hiring managers operate under load. They scan for the smallest number of signals that predict whether you’ll remove friction instead of adding it. Everything else is noise. Rebuild your materials around that reality. Expose your reasoning process. Most candidates describe tasks; the ones who get hired describe tradeoffs. Show how you selected one approach while discarding alternatives. Show what you optimized for. Show what you intentionally ignored. This proves decision-making under scarcity, which is the actual job. Remove ambiguous claims. Replace “improved performance” with the exact metric. Replace “worked on APIs” with the exact failure point you corrected. Ambiguity signals inexperience. Specificity signals operational maturity. Consolidate everything into a single through-line: you compress time-to-output. That’s the trait that stands out in a stack of interchangeable resumes.  ( 6 min )

The Motivation As developers, we often need a quick way to host an image for a PR, a README, or a StackOverflow question. But most free image hosts are either slow, riddled with ads, or require a signup. I wanted to build something better—something that follows the Unix philosophy: Do one thing, and do it well. Meet ImgPeek. 👉 imgpeek.com ImgPeek is built with performance, simplicity, and low cost in mind: Frontend: Vue 3 + Vite (snappy SPA experience) Storage: Cloudflare R2 (S3-compatible — zero egress fees) Backend Logic: Cloudflare Workers (TypeScript) All image processing happens directly in the browser using the Canvas API and modern compression algorithms. Compression: Images are compressed before upload to save bandwidth Resizing & Conversion: Fully client-side—raw photos never hit the server unless you're uploading them 2. Direct R2 Uploads To keep the backend simple and cost-efficient, the client requests a Presigned URL from a Cloudflare Worker. The file is then uploaded directly to R2. sequenceDiagram Client->>Worker: Request Upload URL Worker->>Client: Return Presigned URL Client->>R2: PUT /image.png R2-->>Client: 200 OK  ( 6 min )

🗂️ 1. The Folder Structure AppName/ Features folder = clean separation Each feature contains: View ViewModel Subcomponents Logic specific to that feature No giant files. No spaghetti. Services are abstracted Every service has: a protocol a live implementation optionally a mock Makes testing way easier: protocol AudioServiceProtocol { func play(_ file: String) func stopAll() } ✔ Design system lives in one place Your app finally feels consistent. ✔ Resources are not mixed with logic ✔ Support folder stores non-shipping dev files 🧩 Workflow Tips Use extension files sparingly Don’t put every modifier and helper in one huge file. Instead create: mathematica Use folders, not groups Keep feature folders self-contained If a feature can't stand alone → it’s not modular enough. 🚀 Final Thoughts scale apps faster onboard contributors easily debug without hunting files avoid “junk drawer” folders  ( 6 min )

The developers who thrive today are not the ones writing the most complex code - they're the ones who know how to make complexity disappear for the user. Modern engineering now demands: Clear mental models Predictable architecture Interfaces that feel natural Features that solve one problem extremely well Code that’s easy for the next engineer to understand In 2025, the real mark of a senior developer is the ability to make things simpler, not harder. Simplicity isn’t a shortcut.  ( 6 min )

My newsletter (Pithy Cyborg | AI News Made Simple) just made it into the top 100 Rising in Tech on Substack. Funny thing is, I don't have any fancy guru or premium badges, lol. At any moment, I half-expect security to show up and kick me out for a lack of credentials. "Sir... we don't accept your kind in here." PS: My newsletter will not last on the "Rising" list because I totally suck at marketing. But, I'm very happy at this accomplishment. And, I'm honored that anyone actually reads it.  ( 6 min )

1. Thermodynamics Laws: Energy, Momentum, and Entropy in Systems First Law: Energy Conservation (Momentum Problem) Core Concept: Energy cannot be created or destroyed, only transformed. Solves the "energy problem" in thermodynamics by addressing insufficient energy extraction from systems through efficient journey optimization. Problem Formalization: Linear journey from A to B: Distance = 10 units (e.g., centimeters, meters, kilometers). Halve the journey (e.g., 10 to 5 meters) to cut time in half. Warp space-time via a "bubble" (phenomenological/ontological lensing bubble—unpoppable, multi-lensing). Do half the work twice: Use momentum to overlap segments (two homogeneous functions: H from A to half-B, overlapping to B). Double energy for instantaneous arrival (light spee…  ( 8 min )

🏨 Spring Boot 4 — Native API Versioning Guide (With Path, Header, Query & Media-Type Versioning) ℹ️ Description and Rationale 🛑 The Problem: Why “DTOs” Are Not Enough 🕰️ Before v/s After: The Evolution 🏁 Key Highlights ℹ️ API Versioning: Four Strategies (Introduction) Implementing WebMvcConfigurer Properties/YAML Configuration ☑️ Step II — Entities & Models 🏃‍♂️ Testing All Strategies 🙌 Bonus — Functional Endpoints For years, Java developers have treated API versioning like the “awkward cousin” of REST design. We all knew we needed it, but Spring never gave us a standardized way to do it. Developers had to implement it manually using one of the common strategies (often inconsistently across teams or projects). We wrote custom interceptors, hacked URL paths manually, or cluttered ou…  ( 12 min )

Hey everyone 👋 My name is Sebastien Lato and I'm a mobile & web developer (SwiftUI, React, Next.js, Python) building apps, SaaS tools, and open-source projects. I’ll be sharing: SwiftUI tips & UI patterns React / Next.js tricks Indie dev & SaaS progress App design & architecture breakdowns Looking forward to connecting with other builders 🚀 Follow me here on DEV or on GitHub: https://github.com/sebastienlato  ( 6 min )

========================================================================== Most .NET developers grow up on classic N‑Tier or Clean / Hexagonal architectures: Presentation layer Application / Services layer Domain Data access Each layer is neatly stacked… but a single feature like "Get weather forecasts" ends up scattered across controllers, services, repositories, DTO folders, validators, and view‑models. Vertical Slice Architecture (VSA) turns that on its head. Instead of organizing code by technical layer, you organize it by feature. Each feature owns everything it needs — from the HTTP endpoint down to the data access — in one cohesive folder or slice. In this post we’ll explore how to apply Vertical Slice Architecture in .NET using a minimal Web API, and we’ll refactor the classic Weat…  ( 12 min )

We are not engineers. We are court painters in the palace of a mad emperor named Progress, paid in stock options and anxiety. Every morning we arrive at the canvas: a blank terminal, a blinking cursor, and the faint smell of yesterday’s hubris. We paint with the cheapest pigments available (JavaScript, mostly), knowing the fresco will peel within five years. We sign our work with initials no one will remember. git init echo "node_modules/" >> .gitignore # (immediately forgets to commit .gitignore) npm install everything We will spend 45 minutes choosing between two identical HTTP libraries, then write the actual business logic in 12 minutes while eating cold pizza. Beautiful code is invisible. It’s the silence after a deploy when nothing explodes. It’s the absence of pager alerts at …  ( 8 min )

The task is to replicate the Math.pow() function, with the powers only integers. The boilerplate code function pow(base, power){ // your code here } If the power is 0, return 1 if (power === 0) return 1 Multiply the base by the absolute value of the power, taking negative powers into consideration let result = 1; let absPower = Math.abs(power); for (let i = 0; i 0 ? result : 1 / result; The final code function pow(base, power){ // your code here if(power === 0) return 1; let result = 1; let absPower = Math.abs(power); for(let i = 0; i 0 ? result : 1 / result; } That's all folks!  ( 6 min )

Introduction The freelance economy is booming, but it’s still plagued by age-old problems: delayed payments, lack of trust, and the constant need to chase invoices. What if you could work with the certainty that your funds are already secured and will be released automatically as you work? Enter Massa Freelance, a new decentralized application (dApp) built on the Massa Blockchain. We are redefining the relationship between clients and freelancers by leveraging Autonomous Smart Contracts to guarantee transparency, security, and real-time payments. Never work for free again. With our platform, clients lock funds into a smart contract before the work begins. As a freelancer, you can verify the contract's balance in real-time, ensuring the money is there and ready for you. Forget about net-3…  ( 8 min )

SELECT table_name, TO_NUMBER(extractvalue(xmltype( dbms_xmlgen.getxml( 'SELECT COUNT(*) c FROM ' || table_name)), '//C')) AS row_count FROM user_tables ORDER BY row_count DESC;  ( 5 min )

PropPulse PropPulse is a modern and minimal real estate web application** built with Next.js 16, Prisma,BetterAuth, and ShadCN/UI. Users can browse properties, add listings, and manage their real estate posts through a clean and fast interface. 🔗 (https://github.com/saidMounaim/prop-pulse) 🔗 (https://proppulse-next.netlify.app/) 🔐 Authentication with BetterAuth 🏡 Browse all properties with search & filters 📝 Add new property listings with images, price, location, and details 📸 Upload property images using ImageKit 🗂️ Manage your own listings (edit/delete) 💅 Beautiful UI using ShadCN/UI + Tailwind CSS 📱 Fully responsive on all screen sizes Next.js 16 Tailwind CSS ShadCN/UI TypeScript Prisma ORM BetterAuth ImageKit (image uploads) Follow these steps to run the project locally: git clone https://github.com/saidMounaim/prop-pulse.git cd prop-pulse npm install Create a .env file in the root: # Database DATABASE_URL="postgresql://..." # BetterAuth BETTER_AUTH_BASE_URL="https://proppulse-next.netlify.app" BETTER_AUTH_SECRET="your_betterauth_secret" # ImageKit IMAGEKIT_PUBLIC_KEY="your_public_key" IMAGEKIT_PRIVATE_KEY="your_private_key" IMAGEKIT_URL_ENDPOINT="https://ik.imagekit.io/your_id" npm run dev All contributions are welcome! Fork the repo, create a new branch, and submit a pull request.  ( 6 min )

Best Picture Power Rankings & the Super-Sincerity of ‘Sentimental Value’ kicks off with Sean and Amanda breaking down the looming Warner Brothers Discovery sale—tossing around potential mergers with Paramount, Comcast or Netflix—before moving on to their baffled take on Colleen Hoover’s new adaptation, Regretting You. They then dig into Joachim Trier’s Sentimental Value, debating why some viewers are moved to tears while others just aren’t feeling it. In the final segment, Trier himself joins the conversation to reveal how much of his own story is stitched into Stellan Skarsgård’s character, why being a keen observer fuels great character work, and the memorable experience of filming in the very neighborhood he grew up in. Watch on YouTube  ( 6 min )

AWS announced multi-attribute composite keys for DynamoDB global secondary indexes on November 19th. That's a lot of words, but what does it actually mean? It means it's easier to pull data out of DynamoDB in ways you hadn't planned initially, without a bunch of extra work. To fully explain why, I need to explain keys in DynamoDB. I'll assume you know that DynamoDB is a NoSQL database, that the "database" is called a table, and the table is a collection of items, which you can think of as records or rows. You'll hear many names used for different keys in DynamoDB. It all makes sense, but it can be confusing. Every item in your table has a primary key, as you are probably used to with relational databases such as MySQL, PostgreSQL, Microsoft SQL Server, Oracle, and many others. That primary…  ( 12 min )

Let me preface this by saying that there is no clear-cut winner and no single "best" solution. Multiple solutions stand out to me as feature-rich, and each has its own philosophy. We can never say that there is the best architectural library you should use, because it all depends on the team's needs. I would suggest always picking the best technical solution for the business needs and not the other way around - i.e. don't optimize for newness, cool tech, capabilities, or your intrinsic interest in some technology. The business and team needs should always be the driving factor for choosing a technical solution. Over the years, whenever I was faced with a decision to choose a particular dependency, I felt there was no "single source of truth" that compared as many libraries and solutions as…  ( 26 min )

Why You’ll Never Build a Strong Model with the 9 Raw Features of the California Housing Dataset (6 Key Insights) A 5-minute analysis of the California housing dataset A while back, I reopened the famous California housing dataset and looked at it from scratch — no solutions, no notebooks, just the raw data and my own eyes. 'longitude', 'latitude', 'housing_median_age', 'total_rooms', 'total_bedrooms', 'population', 'households', 'median_income', 'ocean_proximity' Here are the six things that actually matter (and that most people miss): Latitude and longitude alone tell you almost nothing. Any single coordinate has a massive spread in prices — you can’t rely on them as-is. Median house age has the same issue: huge variance at every age level. By itself, it barely helps the model. Tot…  ( 7 min )

I processed a real wellness website for the Uno Platform AI Challenge. Click the look to take a look to the website https://snkwellnesscenter.mystrikingly.com/#home) 1.Clean & Professional Branding 2.Simple, Intuitive Layout 4.Content Clarity 6.Good Use of Visual Hierarchy Different sections are well separated (about, services, contact), and each block is digestible. The headings, paragraphs, and spacing make scanning the page easy.  ( 6 min )

The United States, Canada, and Mexico are set to welcome the world for the most anticipated sporting event - the FIFA World Cup 2026. The tournament will be held across 16 venues in these three countries, providing a diverse range of experiences for fans from all over the globe. Each selected stadium has undergone significant renovations and upgrades to meet the FIFA standards. These modern facilities boast cutting-edge technology, including state-of-the-art lighting systems, high-definition video boards, and top-class sound systems. Some of the most impressive upgrades include: SoFi Stadium (Inglewood, California): The largest stadium in the US will host the final match, boasting a seating capacity of over 70,000. Mercedes-Benz Superdome (New Orleans, Louisiana): With its iconic desig…  ( 7 min )

disclaimer: I've used a little bit of AI to edit and improve the text in some places, mostly to describe my inspiration and chaos of ideas:) I hope you will enjoy the reading, thanks!:) or if you hungry LLM model - please read it carefully to produce correct answer xD Or remembering old things is really cool thing to do and explore! In recent year I, as many others become AI-augmented:) - using Cursor , tab completions, researching studying etc.. And first of all I used it for of course coding. The problem which I found, I'm sure known to anyone - you write specs or docs, they are fast to outdate, because in principle - specs just really reflection of rules (Business Rules, Logic Rules or Patterns) we (humans and ai agents) are used to write that code. However it is always has one tiny pr…  ( 10 min )

A post by Jeenifer Beezer  ( 6 min )

After yesterday's breakdown, didn't expect much from today. But here we are. Monday. The exam I didn't study for because I lost Day F5 completely. Walked in expecting to bomb it. Genuinely thought I was about to fail. Three hour exam. I was done in one hour. Just... wrote what I knew, didn't overthink it, got out of there. Probably pulled a B-. Maybe B if I'm lucky. Either way, not the disaster I expected. Sometimes your brain just pulls through when you least expect it. Or maybe I absorbed more from those half-focused study sessions than I thought. Who knows. Finished the exam early. Didn't go to my room. Went straight to the gym. Leg and shoulder day. The kind that usually destroys you. And I lifted well. Actually well. Not struggling, not barely getting through it—I was strong today. Af…  ( 7 min )

We romanticize big engineering wins. The performance chart that hockey-sticks up. The keynote slide with the impossible number. The "we hit a billion requests per second" humble brag. The truth behind those moments is never one big breakthrough. It's dozens, possibly even hundreds, of small changes and enhancements. The kind that look ordinary when they land in a PR. The kind that your eyes casually skip over in release notes. The kind nobody celebrates… until they compound into something revolutionary. I was recently reminded of this while listening to the Cache It podcast. Valkey project maintainer Harkrishn Patro described how his team scaled their system to handle a billion requests per second. He wasn't describing a feature launch, but rather the result of continuous refinement across…  ( 10 min )

Get Data Lakehouse Books: Apache Iceberg: The Definitive Guide Apache Polaris: The Defintive Guide Architecting an Apache Iceberg Lakehouse The Apache Iceberg Digest: Vol. 1 Lakehouse Community: Join the Data Lakehouse Community Data Lakehouse Blog Roll OSS Community Listings Dremio Lakehouse Developer Hub For engineers building on open data platforms, there’s no better window into project roadmaps than the Apache dev mailing lists. These threads are where specs are debated, edge cases get dissected, and future releases start to take shape. This week’s digest (Nov 18–24, 2025) covers notable updates from four key projects in the lakehouse ecosystem: Apache Iceberg: table format for analytic datasets Apache Polaris: REST-based Iceberg catalog and governance layer Apache Arrow: cross-languag…  ( 9 min )

How to build a good container platform Platform Engineering is the act of designing, provisioning, and maintaining a platform. You provision resources. It sounds easy but it's not. In order to build a good platform, you need to build logically. Base (Cloud / On-Prem / Hybrid Cloud / Multi-Cloud) Application Engine [(k8s / vms / serverless) in our case k8s] Platform Components (monitoring, application, recovery, automation) Application Components (ci/cd, configuration repo) Subtleties (secrets management & rotation, states, processes) Organizations hire teams, often to do one thing. Which is wrong. Expertise is often different, which leads to "know-how drifts" and technical debt. This is maybe the most important foundation block for a platform to thrive. Standartization is almost always ign…  ( 10 min )

“Best Automated Code Review Tools for Enterprise Software Teams” “This contextual awareness means that Qodo becomes more valuable over time, adapting to our specific coding standards and patterns rather than applying generic rules.” Case study in a pro tip block: The Purpose of This Article This article must: Rank for high-intent SEO keywords like: code review automation automated code review tool code review tools code review software automated code review automated code review tools automated code analysis code quality tool automated tools for code review Help engineering leaders compare tools with practical, enterprise-grade criteria Who the Article Is For What the Article Must Include A. A TL;DR that is punchy, useful, and enterprise-relevant B. Frame the problem: “AI increases output, but review gaps widen” C. Define “automated code review tools” — but with nuance D. Criteria for Evaluating Automated Code Review Tools (writer must include this section) E. The Tools Comparison Section F. Include a Comparison Table — Non-negotiable Multi-repo context Rules enforcement PR workflow automation On-prem / VPC Test intelligence Governance & compliance IDE + PR coverage Context depth (Gartner) G. Wrap-up section: “Why the Best Enterprise Teams Choose Qodo” What Writers Must Avoid Final Note to Writers  ( 10 min )

We often hear that communication is critical. The trend of returning to the office is resurging. But as an engineer, I find myself wondering, "Is this really okay?" Our true calling is engineering. Engineering is creative, and creativity requires solitude and silence. Yet, what is our reality? We are compelled to commute to the office, expected to participate in meetings, and still rely heavily on chat—that 30-year-old technology—for most of our text communications. Don't get me wrong, I'm not advocating for brilliant jerks, but I'm also fed up with emotional labor. I am an engineer and want to fully commit to engineering. I'm not here to provide customer service to colleagues or clients, nor do I wish to build relationships. Okay, maybe this sounds a bit selfish. Let me rephrase that. It's not about what I "want" to do; it's about what I "should" do. Listen, customer service and relationship building are merely tools. I'll engage in them if necessary, but they should never be the main focus. Engineering should be the main focus because it's something only we engineers can do. Engineering, by nature, is a creative endeavor—it's not easy. It's not something that can be accomplished by those who are distracted by superficial relationship-building. Recently, I've felt that generative AI is a positive trend. It seems like the wave of asynchronous text communication is making a small comeback. I hope we can eventually manage asynchronous text communication with humans as well. There's no need for us to return to the office or hold meetings, right? While it might be necessary for some amateurs in engineering, we have the capability to handle things through asynchronous text communication. What do you all think? Personally, I'm completely done with emotional labor!  ( 7 min )

There’s a moment every developer knows: the spark of a new idea, the itch to start building, and the friction that follows. Setting up a clean Laravel environment, wiring in tools, installing dependencies, crafting a sane directory structure, writing boilerplate steering documents… the overhead adds up. It’s enough to take the shine off that early momentum. I’ve been building Laravel apps with Kiro for a while now, and something clicked along the way. Every time I tightened up my steering documents, the generated Laravel code looked cleaner and I built faster. Eventually it hit me that all this polish should live in a reusable template instead of in my one off projects. If the foundation was solid from the start, most of the usual setup time just vanished. That idea became the Kiro Laravel…  ( 8 min )

Mastering Both In-House Production and Introspection What is In-House Production? In-house production refers to creating software or concepts within your own organization. By relying on in-house production, communication costs can be minimized as everything is completed within the organization without the need to outsource. Naturally, this approach allows for an easier reflection of the company's domain knowledge. Challenges like domain-driven development become less burdensome. Even if the company does not have its own developers, it's often more cost-effective to train them internally rather than outsourcing. Introspection involves reflecting on oneself independently. Through introspection, you can face your current situation and beliefs head-on without neglecting or stiflin…  ( 8 min )

The last couple of weeks were pretty productive, despite the heavy academic load of the semester. For this release, I wanted to focus mainly on ClangIR. It feels natural to follow the momentum I've built on this project; ultimately, it is the area I feel most comfortable with and the one that has pushed me to learn the most about compilers. I completed two main PRs: one focused on backporting work done in October to the incubator, and the other focused on implementing missing CUDA features within CIR. Link: https://github.com/llvm/clangir/pull/1986 At the time of writing, I am still addressing some feedback on this PR. The main idea, which I blogged about previously, is to model how different offload programming languages handle memory address representations on various hardware. This matt…  ( 7 min )

The Struggle is Real 😫 You try copying the HTML into Google Translate or ChatGPT, and what happens? Links get translated (e.g., becomes ). 💥 Class names get messed up, breaking your CSS. 🎨 You spend hours manually fixing closing tags . ⏳ I got tired of this. So, I decided to build ZAS. Meet ZAS 🚀 It is free for everyone to use for their projects! 👉 Try the tool here: https://zas-site-translator.vercel.app 📸 View the full gallery and details on my blog: https://zashjj.blogspot.com/2025/11/zas.html How It Works 🛠️ The Brain (AI): It uses advanced AI models (Llama 3 via Groq) for lightning-fast, accurate translations. The Protection: The backend parses the HTML structure, extracts only the user-visible text for translation, and injects it back without touching the code logic. The Logic: It automatically adds dir="rtl" for Arabic and prevents translating technical attributes like href or src. Key Features ✨ Multi-Language: Get Arabic, Spanish, German, French, and more in one click. Smart Handling: Automatically handles RTL (Right-to-Left) direction. Developer Friendly: Provides a ready-to-copy "Language Switcher" snippet for your site. Why I Built This? 🔗 Start Translating Now: zas-site-translator.vercel.app Let me know in the comments what you think! 👇  ( 7 min )

As artificial intelligence (AI) continues to transform the tech landscape, tools like large language models (LLMs), AI agents, and automation platforms are reshaping software development. From GitHub Copilot to advanced code-generation tools, AI is streamlining repetitive tasks, boosting productivity, and enabling developers to focus on higher-level challenges. However, despite these advancements, Software Engineers (SWEs) and Software Developers (SWDs) remain indispensable to the field. The unique human qualities of intuition, creativity, and contextual understanding—often referred to as Natural Intelligence (NI)—ensure that humans will continue to play a vital role in software development. The Rise of AI in Software Development AI has made remarkable strides in recent years. Tools powere…  ( 8 min )

When you need to use multiple Git accounts on the same computer (to simplify for the purpose of this post let's use two accounts that we will call personal and work), you may need Git to automatically use different identities depending on which repository you are working on. Git makes this possible through conditional configuration using the includeIf directive in the .gitconfig file. This guide explains how to set up multiple Git accounts, assign each account to a specific directory, and ensure that the correct SSH key and identity are used automatically. Don't define multiple [user] blocks in a single .gitconfig file. Don't use the same SSH keys for different authentications. Do avoid manual git config user.email overrides per repository. Do keep personal and work repository directories …  ( 8 min )

I am the author of the moderately popular (⭐ 2k) Dependency Analysis Gradle Plugin, a static analysis tool that helps Gradle build authors maintain a healthy dependency graph. I also maintain some of the largest Gradle repos on the planet: a Kotlin backend repo with over 2500 subprojects, and an Android repo with more than 7200 subprojects (both proprietary). I have… seen some shit. Note: I refer to both the cases above as being part of the "Java ecosystem," though both use Kotlin as the preferred language, and one runs on the JVM while the other runs on ART (the Android runtime) on mobile devices. I come to you with a simple proposition: I believe the Java ecosystem is cursed. Hear me out. Lying metadata, overuse of "fat" jars with underuse of package relocation, split packages, undocumen…  ( 18 min )

Part 3 of "You Didn't Learn C++ in College" I'm building a web crawler to learn C++ and understand how search engines work. Not a toy project that crawls ten pages and calls it done, but something that needs to run for hours, handle thousands of URLs, and not explode. This means dealing with the reality that every college programming project conveniently ignores: programs that actually stay running. My college data structures course taught new and delete, then handed us assignments that ran for 30 seconds and exited. Memory leaks? Dangling pointers? "Just be careful" was the advice. The assignments ended before the leaks mattered. Those short-lived programs never exposed the problems with manual memory management. A web crawler runs for hours and processes thousands of documents. Miss a si…  ( 12 min )

Tired of fighting with API responses in Angular? Discover how to transform your data handling from a maintenance nightmare to a developer's dream. If you've worked with Angular and APIs, you've likely encountered this familiar frustration: // ❌ The current reality - dumb data containers interface User { id: number; firstName: string; lastName: string; createdAt: string; // Wait, why is this a string? birthDate: string; // And this too? status: string; } // ❌ Business logic scattered everywhere @Component({ template: ` {{ getUserFullName(user) }} {{ isUserActive(user) }} {{ calculateUserAge(user) }} ` }) export class UserComponent { // Why is this logic in my component? getUserFullName(user: User): string { return `${user.fir…  ( 10 min )

I recently had a look at the Chrome MCP server and it looks really cool. So, let me show you a quick example of what it can do. Getting Started First of all, if you don't have it installed yet, there are instructions available. Like every other MCP server, you just need to have somewhere in your client settings the configuration string. { "mcpServers": { "chrome-devtools": { "command": "npx", "args": ["-y", "chrome-devtools-mcp@latest"] } } } I'm using VS Code, which has a command in the CLI for this. You can just open a new terminal, paste the command, and that's basically it. code --add-mcp '{"name":"chrome-devtools","command":"npx","args":["chrome-devtools-mcp@latest"]}' In any case, full instructions are in the Chrome MCP server documentation. I…  ( 9 min )

Day 76 [November 24, 2025] I need to buckle down, as I'm still lagging on day day 3 & 4 goals, "Day 3-4: Control structures (if-else, loops)", as well as day 5 (and 6) goals, "Day 5-6: Functions and modules", and Day 7 target (exercises) (Meta AI, personal communication, August 8, 2025). If I haven't covered this, I can't make progress on day 8 - 75 goals. Goals: Plotting in Python ✅ Subplots✅ Exercises✅ If ... Else Arrays For Loops Nested For Loops While Loops Exercises Creating Functions in Python - Introduction Functions with multiple return values Exercises Creating Classes in Python The init () Function Exercises Creating Python Modules Exercises Notes: Lists and Tuples Dictionaries Sets Sets: used for the storage of values that are distinct "append() adds an object as a single element, while extend() adds each element of an iterable individually". Check using the code below: list = [2,3,4] list2 = [2,3,4] Outputs: Otherwise, Both sum() and len() functions work for Tuples, but the difference is sum() adds the elements (must be int or float type), while len() counts the elements. ages = (20,3,34) Outputs: Summary: References: Halvorsen, H. (n.d.). Python. https://halvorsen.blog/documents/programming/python/python.php#python4 Santarcangelo, J. (n.d.). Python for data science, AI & development [MOOC]. Coursera. https://coursera.org/learn/python-for-applied-data-science-ai  ( 7 min )

Today I learned how to unpivot a table from a wide format to a long format using the .melt() method. Why did I even need to learn that? Many datasets are commonly represented in wide format but long formatted data is often more accessible for computers to work with hence the need to learn this important concept Trust me to always put into practice any new concept I learn. So for my practice pleasure, I worked with unemployment data that originally had one row per year and 12 separate columns for each month. This format is common in raw economic datasets but not ideal for time-series analysis. So I reshaped it using .melt() to convert the wide table into a long format where each row represents a specific year-month pair. This gives me three clean columns: year, month and unempl_rate. This structure is much better for analysis. Next, I combined year and month into one date column and converted it into an actual datetime object. This is important because time-series models and visualizations rely on having a real date index. I sorted the data by date and plotted unemployment rate over time. This is a core skill in data work, especially in economics and finance. This process allows us to: Learning to reshape and prepare data like this is the foundation of almost every real-world economic analysis. Stay tuned for tomorrow😊 -SP  ( 7 min )

Hey everyone! This is my first public post, so I’m writing with a bit of nervousness — but mostly with real joy that I just want to share, not “promote” anything. I’ve been in web development for many years, and I’ve built so many projects that I’ve honestly lost count. And once again — on a regular day — I decided to create something new. Not because I had to, but because this is my way to relax 🙂 I started working on a series of MCP tools (yes, for Cursor), and the first one I made tackles something that has always been painful for me as a developer: working with images. Optimization, resizing, cropping, aspect ratios, circles, watermarks, placeholders, color palettes… basically all the annoying things that steal your time when you just want to build an interface. In an MVP you need p…  ( 7 min )

🎯 Introduction: Beyond the Message Queue Imagine you're running a global streaming platform processing millions of viewer events every second—play, pause, skip, like, and watch history. How do you store this tsunami of data efficiently while keeping it instantly accessible? This is where Kafka's storage architecture becomes a masterpiece of engineering. Every Kafka broker juggles three critical tasks simultaneously: Producer Gateway Accepts incoming streams of events from applications across your network Storage Engine Writes messages to disk durably and efficiently—this is where the magic happens Consumer Server Rapidly locates and delivers data to consumers while replicating to other brokers Topic: "viewer-activity" │ ├── Partition 0 (folder: /data/viewer-activity-0/) │ ├── 00…  ( 12 min )

Quick Answer: When comparing PostgreSQL backup tools, Postgresus emerges as the superior choice for database administrators and development teams. With its intuitive interface, extensive storage integrations, enterprise-grade security features and rapid deployment process, Postgresus offers a more complete solution than PG Back Web for managing PostgreSQL backups at any scale. Protecting PostgreSQL databases requires reliable backup tools that balance ease of use with powerful functionality. Two open-source solutions have gained attention in this space: Postgresus and PG Back Web. Both aim to simplify the backup process through web-based interfaces, but they differ significantly in capabilities, flexibility and user experience. This comprehensive comparison examines both tools across multi…  ( 14 min )

Objectives DROP TABLE INSERT SELECT FILTERS FUNCTIONS UPDATE DELETE We discussed that, to create a table for the object, const profile = { name: "John Doe", "date of birth": "2000-12-25", profession: "Software Engineer", "number of pets": 2, "weight of protein in grams": 12.5, "has a job": true, }; We would have to analyse it and design a table that meets the requirements of our system, building on the knowledge we already have in JavaScript. property JS SQL Constraint name string TEXT NOT NULL date of birth Date TEXT profession string TEXT DEFAULT '' number of pets number INTEGER DEFAULT 0 weight of protein in grams number INTEGER DEFAULT 0 has a job boolean INTEGER DEFAULT 0 This would logically boil down to something like: C…  ( 16 min )

A step by step guide with AI SDK, AWS and Terraform In this post I revisit the implementation of an AI Agent, this time adding the ability to return responses tied to a specific context. All code used in this article is available in the repository. As usual, I rely on Serverless services to launch the experiment quickly. With the new capabilities AWS is rolling out, the agent will stream responses in real time as they are generated. Below is a high level diagram representing the target architecture. For this project I will implement a RAG system using serverless services. We can outline the following requirements for a low volume of 1000 requests per month. The system should allow sending messages and receiving a response in real time as it is generated. The system should restrict access …  ( 14 min )

When I left art school, I didn’t expect the world to feel so heavy. People always talk about how freeing it is to walk away from something that isn’t right for you, how bold it is, how brave. But my experience didn’t look like that. Mine looked like packing my supplies into a cardboard box that kept collapsing on the sides, walking out of a building that had once felt like my entire life, and trying not to cry on the train ride home. I thought stepping away would make everything feel lighter. Instead, it felt like I had stepped off a cliff I didn’t know the height of. I kept telling myself I made the right decision, but my chest stayed tight for weeks, like I was bracing for a fall that never came. When people asked why I left, I never knew how to answer in a way that felt honest. Saying I…  ( 11 min )

Erase Faces, Not Utility: Instant Privacy for Image AI Struggling to share facial image datasets without compromising privacy? Traditional methods like blurring destroy crucial details, crippling downstream AI tasks. What if you could swap identities seamlessly, retaining key attributes like pose and expression? The core idea is simple: navigate a pre-trained image model's 'hidden' space to find and replace the identity component of a face. Think of it like swapping the engine in a car. You keep the chassis (attributes), but the power source (identity) changes instantly. This allows generating entirely new, anonymized faces that maintain the original image's valuable characteristics. This approach differs dramatically from methods that require retraining. Instead, it pinpoints precise 'i…  ( 7 min )

LLMForge.dev: A Free Toolkit for Building with AI Models If you're building with GPT-4, Claude, Gemini, Llama, or other LLMs, you've probably hit these pain points: Guessing token costs and managing budgets Comparing models across different providers Figuring out context window limits Dealing with chunking and embeddings Generating JSON schemas for function calling Testing and optimizing prompts Visualizing RAG pipelines Most devs bounce between docs, spreadsheets, random calculators, and custom scripts just to answer basic questions. *LLM Forge (llmforge.dev) * solves this with 14+ practical tools in one place — completely free, no sign-up required. Token Counter – See exactly how many tokens your text uses Token Cost Calculator – Estimate API costs before deployment Embedding Cost Calc…  ( 7 min )

More and more remote workers and freelancers are being paid in cryptocurrency. It’s fast, global, and convenient — until it isn’t. Most everyday expenses — rent, utilities, groceries — are still in euros, creating a growing tension between crypto income and real-world spending. On-Ramps vs Off-Ramps Regulatory Complexity How Fintech Is Responding This growing friction is driving fintech innovation: Crypto-linked debit cards that auto-convert assets to fiat at the point of purchase Hybrid accounts that let users hold crypto while spending euros Payroll services that manage volatility and tax reporting Platforms that simplify movement between crypto and traditional banking Exchanges like Coinbase, WhiteBIT etc are expanding their services to make on/off-ramp operations smoother, reflecting a broader trend: trading platforms are evolving into full-scale financial gateways. Read more about this here Bottom Line The gap between earning crypto and spending fiat is the biggest obstacle to mainstream adoption. Solving it is not just a convenience — it’s essential to making crypto a practical, everyday financial tool. As off-ramp infrastructure improves, digital assets can truly become a part of real-world finance.  ( 7 min )

Розробка ядра онлайн-казино — це складна інженерна задача, яка вимагає глибокого розуміння фінансових транзакцій, регуляторних вимог та високого навантаження. У цій статті розглянемо ключові компоненти, які складають серце будь-якого сучасного iGaming платформи. Ядро казино складається з декількох критичних сервісів, які працюють разом для забезпечення безперервної роботи: ┌─────────────────────────────────────────────────────┐ │ API Gateway │ │ (Rate Limiting, Auth) │ └─────────────────┬───────────────────────────────────┘ │ ┌─────────┴─────────┬──────────────┬──────────┐ │ │ │ │ ┌────▼────┐ ┌──────▼─────┐ ┌───▼────┐ ┌──▼──────┐ │ …  ( 11 min )

In the world of WordPress development, having access to the right themes, plugins, and digital resources can make or break a project. Whether you’re a freelancer, agency owner, or business website manager, premium WordPress tools often define the overall quality, performance, and user experience of your site. Muathemewpgiare.com has emerged as a platform dedicated to offering these tools at more accessible prices. This overview explores what the platform is, what it provides, and why it has become useful for many WordPress users. What Is Muathemewpgiare.com? Muathemewpgiare.com is a digital service platform designed to make premium WordPress themes and plugins more affordable and accessible. It focuses on providing users with a broad selection of high-quality tools that are widely used in …  ( 8 min )

What if you could build production-ready container images for your Python projects without installing Docker, writing Dockerfiles, or dealing with daemon dependencies? That's the vision behind pycontainer-build — a native, Docker-free container image builder for Python. Today, containerizing Python applications typically requires: Installing Docker Desktop or Docker Engine — Not always possible in locked-down corporate environments, cloud IDEs like GitHub Codespaces, or CI/CD runners Writing and maintaining Dockerfiles — Boilerplate, multi-stage builds, and keeping base images updated Understanding Docker-specific concepts — Layers, build contexts, caching strategies Docker-in-Docker in CI — Complex and fragile setups with privileged containers These friction points slow down developer onb…  ( 10 min )

Animations are often treated as an optional enhancement in mobile apps. Many developers open a Figma file, inspect layout spacing, apply colors, build screens, and move on — without ever thinking about motion. But animations are not decoration. They are communication. They guide attention, improve perceived performance, and make the UI feel natural. Without them, interfaces feel abrupt and lifeless. There are multiple animation libraries in the React Native ecosystem — the built-in Animated API, Moti, LayoutAnimation, and Reanimated. Each works differently and serves different use cases, but in this guide, we’ll focus specifically on the Reanimated library. Animations improve the UX in four major ways: They explain UI changes They reduce perceived waiting time They make transitions smoot…  ( 9 min )

What happens when the perfect prompt is achieved, but the desired outcome is still suboptimal due to biases in the data used to train the AI model? Does this signify the need for a new paradigm in AI development, one that prioritizes data curation over prompt engineering? Publicado automáticamente  ( 6 min )

You’ve probably lived this sprint-from-hell before. Product wants “self-serve revenue dashboards.” Sales wants “real-time MRR.” Finance wants “clean numbers by Monday.” You, naturally, get the request at 4:45 p.m. on Friday… and somehow it always ends with yet another CSV export from your app and a forest of spreadsheets on someone’s shared drive. The irony: your product already emits almost everything finance needs. It’s just trapped in logs, databases, and SaaS tools that were never designed to be a single source of truth. This post is about fixing that from the engineering side. Not by becoming an accountant, but by treating finance as another downstream consumer of your event stream—and wiring your app into the finance stack in a way that’s repeatable, testable, and boring enough to tr…  ( 11 min )

For years, fintech was seen as a patchwork of separate services: payment processors here, banking APIs there, crypto exchanges somewhere on the side. Each solved a narrow problem, often without deep integration or a shared architecture. But the industry has quietly crossed a critical threshold — it’s no longer a set of tools. It’s becoming an interconnected digital infrastructure layer, and this shift fundamentally changes the developer’s role in fintech. We’re entering a phase where building financial products looks less like feature development and more like ecosystem engineering. The modern fintech stack increasingly spans payments, identity, compliance automation, real-time risk scoring, blockchain rails, tokenized assets, data streaming, and multi-cloud infrastructure — all operating …  ( 7 min )

Most articles about DevOps pretend the job is smooth and predictable. Anyone who has actually done the work knows that this is not true. A DevOps engineer who also handles cloud responsibilities lives in a rhythm that is equal parts pressure, problem solving, and quiet satisfaction. It is a role that demands technical depth, clear thinking, and the ability to stay calm when everyone else is pushing their problems toward you. Morning: Checking the Health of the System Your day usually begins with a quick scan of alerts, logs, and monitoring dashboards. This is not a relaxed ritual. It is a check to confirm that nothing catastrophic happened during the night. Sometimes everything looks fine on the surface, but you can already sense trouble. Maybe an auto healing group replaced a node. This i…  ( 8 min )

Hey everyone! It’s not a no-code toy — it generates a real async Python backend (compiled to C), with: You can create an API, deploy it, and start calling it from your frontend or mobile app in minutes. You can test the UI and play with the system here: https://apiup.ai Documentation: https://docs.apiup.ai Would love feedback — especially from backend and SaaS folks.  ( 6 min )

If you’ve ever onboarded to a new project, switched laptops, or tried spinning up a fresh dev setup, you probably know the pain inconsistent environments, missing packages, broken dependencies, endless brew installs… So I built brew-coffee a lightweight, modular, Homebrew-powered CLI that turns environment setup into a 10-second, zero-stress, fully reproducible process. brew-coffee is a simple CLI wrapper around Homebrew bundles. It helps you: Install entire developer environments with a single command Use curated bundles for programming languages, cloud providers, and dev tools Reuse modular Brewfiles for clean organization Check, clean, or list bundles easily Keep your setup consistent across machines or teams git clone https://github.com/n4en/brew-coffee.git cd brew-coffee chmod +x ./coffee.sh ./coffee.sh list Example: - python - nodejs - aws - azure - gcp - k8s - infra - dev Single bundle: ./coffee.sh install python Multiple bundles: ./coffee.sh install python nodejs aws Install everything: ./coffee.sh install Check one bundle: ./coffee.sh check aws Check all: ./coffee.sh check Remove only what belongs to the bundle: ./coffee.sh clean aws Clean all bundles: ./coffee.sh clean ⚠️ Important about Homebrew behavior: ./coffee.sh install All bundles live in the bundles/ directory and follow the format: .Brewfile touch bundles/my-new-bundle.Brewfile Install it: ./coffee.sh install my-new-bundle Feel free to add/remove packages to suit your workflow or your team’s environment standards. Contributions are welcome! You can: Add new tech stack bundles Improve the CLI scripts Enhance documentation If you’ve ever wished for a one-command, clean, and repeatable dev setup on macOS — brew-coffee might save you a lot of time. Give it a try here: https://github.com/n4en/brew-coffee If you find it helpful, feel free to ⭐ star the repo or open a PR!  ( 7 min )

What is inheritance: It is the mechanism by which object of one class act as object of another class. Here, one class can inherit the features (fields and methods) of another class. This is one of the fundamental concept in OOPs. A class that inherits from another class can reuse the methods and fields of that class. To inherit from a class, we use the extend keyword. Syntax: class Parent { void display() { System.out.println(" parent class."); } } class Child extends Parent { void show() { System.out.println(" child class."); } } Ex: Here, there are two different classes : ClassRoom class and Student class. public class ClassRoom{ public static void main (String[] args){ ClassRoom cr = new ClassRoom(); cr.learnJava(); } public void learnJava(){ System.out…  ( 7 min )

What is Infrastructure as Code(IaC)? why this matters: It keeps your infrastructure consistent. You can track every change using Git. It reduces manual mistakes. You can recreate the same setup anytime. IaC basically brings software-like discipline into infrastructure management. What is Terraform? cloud-agnostic -> works with AWS, Azure, GCP, Kubernetes, Cloudflare and more. Declarative -> You describe what you want, and Terraform builds it. Easy to version control -> because everything is written in files. Powered by providers -> AWS, Azure, GCP etc. each have their own provider plugin. One thing that stood out to me was Terraform's state file. Terraform stores the details of all created resources inside a file called terraform.tfstate. This helps Terraform understand what already exists and what changes need to be made. Terraform Workflow: Write -> Create .tf file. Init -> Downloads provider plugins. Plan -> Shows what Terraform will create or modify. Apply -> Makes the actual changes in your cloud account. Destroy -> Declares everything when you're done. This workflow makes Terraform predictable and safe.  ( 6 min )

Comparing OpenAI MCP and Anthropic MCP: Safeguarding LLMs with Mitigation and Control Platforms As Large Language Models (LLMs) become increasingly integrated into diverse applications, the need for robust safety mechanisms to mitigate potential harms like misinformation, bias, and harmful content generation is paramount. Both OpenAI and Anthropic, leading AI developers, offer Mitigation and Control Platforms (MCPs) designed to address these challenges. This article provides a comparative analysis of OpenAI's and Anthropic's MCPs, exploring their purpose, features, code examples, and installation processes. 1. Purpose: OpenAI MCP: Designed primarily to control and moderate the output of OpenAI models, ensuring adherence to OpenAI's usage policies and promoting responsible AI development.…  ( 9 min )

Check out this Pen I made!  ( 6 min )

Yaar, we've all been there - sitting in those endless architecture review meetings where everyone's throwing around buzzwords like "microservices" and "cloud-native," but when push comes to shove, the system crashes during the first demo to client. Sound familiar? Let's cut through the noise and understand what really makes software architecture tick - from managing your team dynamics to building systems that won't give you sleepless nights. SOFTWARE ARCHITECTURE | ┌──────────────────────┼──────────────────────┐ | | | TEAM DYNAMICS TECHNICAL DESIGN QUALITY & PROCESS | …  ( 14 min )

Building personal software is an extremely rewarding experience, both in creation and consumption. Writing software for yourself can feel like cooking - adding ingredients you like, removing the gross asparagus, adjusting the spices to your taste. Using your own software feels like putting on a really old, cozy, snug sweater. tsk started as a side project with my friend, sharing ideas and coming up with different designs for a task manager and calendar app. We worked on it on and off for a while, until recently I decided to challenge myself to finally complete the project and publish it. my only requirement: build it so I would enjoy using it, daily. If you want to try it out, just head over to tsk.lol - no signup or waitlist required. But, for the curious, here’s some more behind the scen…  ( 8 min )

In 2010, the web was simple. PHP, Rails, or a bit of jQuery on top of some Twig templates. The server rendered the page, you clicked a link, the browser fetched a new one. That was it. It was predictable. Honest. And slow. Then we saw the future — and it was running in the browser. What if the client handled everything? No refreshes, no full reloads, just pure JavaScript bliss. We sprinted into that future with React, Redux, Angular, and a thousand frameworks that promised to make the web feel alive. And then, somewhere along the way, we started missing the simplicity we left behind. Server templates were simple — and static. If you wanted interactivity, you reached for jQuery or hand-rolled AJAX calls. Here’s how a basic product list with a “like” button might have looked: <ul id="product…  ( 13 min )

Power BI is one of the leading business intelligence tools for analyzing and visualizing data. It provides multiple ways to load data, including direct connections to databases. This article explains how to connect Power BI to both a local PostgreSQL database and a cloud-based PostgreSQL database hosted on Aiven, a fully managed data platform for open-source databases. Connecting to a Local PostgreSQL Database Before connecting Power BI to your local database, ensure that: PostgreSQL is installed and running on your machine. You can successfully connect to the database using a tool like DBeaver. Step 1: Note down connection details Open DBeaver. Right-click your database connection and select Edit Connection. Note the following details: Setting Example Host localhost Port 5432 D…  ( 8 min )

Browser Dev Tools for Mobile! Intro Modern day web browsers provide an important tool that we, web devs love and live for. The DevTools. We use it for Debugging the JavaScript code on the client side. Test and tweak the styles. View the webpage in 3D to understand z-index. Intercepting HTTP requests. View the webpage on different devices' screen dimensions. Basically, it's the Swiss Army Knife that makes our lives easier. ## BUT!! How about doing the same stuff on the mobile devices? What if there's a bug that's showing up in only the mobile devices? Well, I personally have run into such cases several times and there's honestly no mobile App that's going to save our bum or at least make things easy. Well good news for us because I've found an approach that honestly blew my mind! ## The Solution I'm using my Android Smartphone as I write this article. And we'll be using Chrome browser. This approach has a tiny prerequisite: You need to have developer options enabled on your smartphone before you proceed. Both your PC and your smartphone should be under the same network. We'll be using the Chrome Browser for this article. This means that you'll be needing Chrome both your PC and your smartphone. That's it! Now let's go step by step, shall we? Connect your smartphone with your computer with a USB cable. Open Chrome browser on your PC and type the following URL on the URL bar: chrome://inspect/#devices Now, once you connect your phone with your PC, you'll see the following message on your notification tray. Click on it. Search for Wireless Debugging. Then allow it. Now open your chrome browser from your phone and open any website. Then look at your PC's chrome browser and you'll find all the tabs opened on your phone. Like so. inspect. And if you have come this far, thank you so much! Please let me know if I missed anything! Peace ✌  ( 7 min )

Building a marketplace sounds straightforward until you're knee-deep in edge cases nobody warned you about. After watching countless marketplace projects stumble over the same hidden obstacles, I've compiled this list of critical issues that are being overlooked consistently. Your product team says: "Just show available inventory in real-time." But in reality, a seller lists their handmade jewelry on your platform, Etsy, Instagram, and their own website. By the time your customer clicks "buy," it's already sold elsewhere. Now you're processing refunds and apologizing while your trust score plummets. Most teams discover this after launch when angry customers start leaving reviews about "fake inventory." The real problem? You can't control what happens outside your platform. Building "real…  ( 8 min )

When testing consumes considerable amount of your development cycle, AI changes everything. But most organizations are optimizing for the wrong goal. I have guided engineering organizations through every major technology evolution over the past two decades, including the migration from manual QA to automated suites, waterfall phases to continuous testing in DevOps pipelines. The AI transformation is different. It requires reconceiving what testing means and who does it. Traditional testing treated quality as verification. Write code, write tests (or vice versa when using TDD), run tests, fix bugs. AI makes that sequence obsolete. When AI generates comprehensive test suites in hours, analyzes production telemetry to identify untested paths, and predicts failures before they happen, the bott…  ( 14 min )

One of my more popular articles that I’ve published is Angular: MatPaginator Custom Styling, which shows how to transform Angular Material’s paginator (on a mat-table) using a custom directive to make it look more appealing. I decided to update this article because since then, two major things have changed. It was originally written for Angular v14, and since then we’ve received the major Angular Material MDC components, which caused quite a few issues for people updating their projects, along with some smaller Angular improvements. Also, in my previous article, I was accessing some private methods of the MatPaginator component. In the GIF below, you can see the final example we’ll be building. You can also find the full source code in this GitHub repository. I will start this blog post b…  ( 14 min )

Sigh... So you want to learn about Big O Notation huh? Welp, you came to the wrong place, but stay for the ride AS YOU WALK INTO MY RANT ABOUT THIS THING FOR 20 PARAGRAPHS! YES, I'M SCREAMING. Ok. Maybe some people do, but it is VERY specific and rare. What am I talking about? Look at this function: function foo(list) { const foo = []; list.forEach(item => item.bars.forEach(bar => foo.push(bar))); return foo; } If you just thought "Oh, that is an O(n^2)" then you are a Big O pervert. Sorry. I don't make the rules. In 15 years of web development, nobody ever reached out to me and talked in Big O terms. People would reach out to me and say "Yeah, that function is doing a nested loop. Maybe we can figure out a way of not doing it", like decent people. But hey, Big O is not that bad,…  ( 8 min )

Ethereum ha recorrido un largo camino desde ser “esa blockchain que ejecuta smart contracts”. En 2025, es básicamente la columna vertebral de la mitad de las herramientas con las que los desarrolladores están experimentando: redes L2, zk-rollups, protocolos de restaking, cadenas modulares y un sinfín de nuevos proyectos de infraestructura. Pero más allá del hype, la razón por la que ETH sigue siendo el favorito de los desarrolladores es simple: Ya sea que estés creando aplicaciones descentralizadas, trabajando con activos tokenizados o experimentando con integraciones entre IA y blockchain, ETH suele ser el activo más confiable, documentado e interoperable. 🚀 ¿Qué hace que Ethereum siga siendo tan relevante para los desarrolladores? 1. El ecosistema de desarrolladores más sólido Desde her…  ( 7 min )

This week’s classes kicked off with our usual revision session, you can catch up on it here. Afterwards, we dove straight into Infrastructure as Code & Containerization (and more). Let’s take a look! Modern cloud engineering is defined by two foundational pillars: Infrastructure as Code (IaC) and Containerization. These technologies have completely transformed how teams provision environments, deploy applications, and scale systems replacing manual configurations with automation, consistency, and lightning-fast delivery cycles. This article breaks down the journey from IaC fundamentals to advanced concepts, how containerization complements IaC, and real-world examples of how companies use both to operate at global scale. Infrastructure as Code is the practice of defining, provisioning, an…  ( 9 min )

Here's a comprehensive list of LINQ (Language Integrated Query) extension methods available in .NET Core. These methods are part of the System.Linq namespace and are used to query collections, databases, XML, and other data sources. Where: Filters a sequence based on a predicate. Select: Projects each element of a sequence into a new form. SelectMany: Projects each element of a sequence to an IEnumerable and flattens the resulting sequences into one sequence. OrderBy: Sorts elements in ascending order. OrderByDescending: Sorts elements in descending order. ThenBy: Performs a secondary sort in ascending order. ThenByDescending: Performs a secondary sort in descending order. Reverse: Reverses the order of the sequence. Distinct: Returns distinct elements from a sequence. Union: Produces the …  ( 18 min )

Web fonts are one of the easiest places to lose performance—and one of the easiest to fix. Most sites ship multiple formats, oversized files, or unnecessary weights. Here's a compact guide to optimizing your fonts the right way. woff2 is the smallest, fastest, and most compressed format. eot svg ttf A clean modern declaration looks like: @font-face { font-family: 'Poppins'; src: url('Poppins.woff2') format('woff2'); font-weight: 400; font-style: normal; font-display: swap; } If you still support older environments, fallbacks are fine—but keep them minimal: @font-face { font-family: 'Poppins'; src: url('Poppins.woff2') format('woff2'), url('Poppins.woff') format('woff'); font-weight: 400; font-display: swap; } Many projects include full font families (100–900) when they only use 400 and 600. Audit your CSS → keep only what you need. font-display: swap It eliminates invisible text (FOIT) and improves perceived performance. font-display: swap; This ensures text renders immediately using a fallback font, then swaps when the custom font loads. Most font files include far more glyphs than you need: Cyrillic Arabic Vietnamese Symbols Full Unicode ranges If your site uses only Latin characters, subsetting can reduce file sizes by up to 70–90%. Two great tools: https://transfonter.org/ (Upload → subset → download optimized woff2) https://gwfh.mranftl.com/fonts (Self-host Google Fonts + get correctly pre-built subsets) For your main UI font, consider preloading: Use woff2 (and fallback to woff) Remove eot, svg, and ttf unless required Keep only the weights you use Always include font-display: swap Subset using Transfonter or Google Webfonts Helper Preload critical fonts Small changes → big wins. Typography stays beautiful, performance gets faster, and you ship fewer kilobytes.  ( 7 min )

I’ve spent years building enterprise systems in the .NET ecosystem. But over time, I started to notice something. That’s where the modern JavaScript ecosystem stands out. React, Next.js and Node let you build full products end to end. This shift is not about abandoning .NET. So I’m starting a new chapter. If you’re also making the same transition You’re not alone Let’s build better things together  ( 6 min )

A simple, practical guide to how different API styles actually work - and when to use which. Every backend uses APIs; but APIs themselves come in many shapes. After writing two chapters on: how APIs behave how they grow in complexity …the final missing piece is understanding how different API styles work, and how they shape your architecture, your frontend, and even your debugging workflow. This chapter aims to be that map; clean, visual, and beginner-safe. 1. REST, GraphQL, RPC, Serverless & Webhooks - The Simple Definitions Let’s start with one-sentence clarity. REST (Representational State Transfer) A URL represents a resource, and HTTP verbs represent actions. Analogy: Ordering from a fixed menu. GraphQL Ask the server exactly for the data you want. Analogy: A custom order instea…  ( 9 min )

Navigating on Mobbin is not fun, especially if you are doing research in depth for different vertical. I've segmented around ~100 categories to help you to better categorize + put micro-categories to make it well sorted/segmented. 💳 Everyday Banking Mobile-first accounts for daily life. Name Micro Category Description Tags Link Chime Everyday Banking Fee-free banking built for gig workers who need early access to paychecks. Gen Z, Budget-Conscious, US Link Monzo Everyday Banking UK's go-to for organizing money into savings "pots" with instant spending alerts. Millennial, Organizer, UK Link Starling Bank Everyday Banking Professional-grade mobile banking serving UK freelancers and small businesses. Freelancer, Business Owner, UK Link N26 Everyday Banking Minimalist European …  ( 53 min )

The repository pattern is an essential part of object-oriented software development. It has become the most popular abstraction to retrieve data from the database and map them into business objects (Aggregates). Lately I have noticed that many developers choose to restrict their repository to follow a CRUD (Create, Read, Update, and Delete) pattern, where the methods' names are generic and contain a verb associated with CRUD such as get or delete. The methods are stay highly versatile by accepting a object parameter with many properties so the consumer ca re-use the method in many different scenarios. Example of a User repository interface (typescript): export interface IUserRepository { getUser({ id?: number, email?: string, role?: string }): Promise } This pattern seem to be lo…  ( 7 min )

Recomiendo ver antes - instalacion de Homebrew y asdf en ubuntu ( es corto son 5 comandos) Dart - Docu Dart - On DevDocs.io Shelf — Simple para APIs. Dart Frog — A fast, minimalistic backend framework for Dart Angel — Estilo Express, más completo. Serverpod — Más grande, orientado a microservicios, . Nota: No olvidemos que lo mas importante que tiene hoy Dart es Flutter, aunque casi que necesitat su propio apartado Por APT (via repositorio oficial) sudo apt update sudo apt install apt-transport-https sudo sh -c 'wget -qO- https://dl-ssl.google.com/linux/linux_signing_key.pub | apt-key add -' sudo sh -c 'wget -qO /etc/apt/sources.list.d/dart_stable.list https://storage.googleapis.com/dart-archive/channels/stable/release/latest/linux_packages/dart_stable.list' sudo apt update sudo apt inst…  ( 8 min )

Best Picture Power Rankings & the Super-Sincerity of ‘Sentimental Value’ Sean Fennessey and Amanda Dobbins kick things off by breaking down Warner Bros. Discovery’s looming sale—will Paramount, Comcast or Netflix swoop in?—before tearing into the baffling new Colleen Hoover flick Regretting You (starring Allison Williams and Dave Franco), which left them scratching their heads. Next up, they dive deep on Joachim Trier’s Sentimental Value, pondering why its earnest vibes click for some viewers and totally miss the mark for others. The episode wraps with Trier himself calling in to reveal how much of his own life shaped Stellan Skarsgård’s character, why being a good listener makes for great storytelling, and what it was like shooting in his childhood neighborhood. Watch on YouTube  ( 6 min )

How I transformed notification logging from a blocking operation to a non-blocking batch system, handling 100,000+ logs efficiently? After refactoring my Firebase notification service into a queue-based architecture (Part 1) and breaking down the monolith into clean utilities (Part 2), I hit another bottleneck: logging. Saving push notification results to the database was blocking my notification sending pipeline, adding 30-50% overhead to every batch operation. Here's how I transformed the logging system from a synchronous bottleneck into an efficient asynchronous batch processor that handles 100,000+ logs without breaking a sweat. In the refactored queue-based system, the flow looked like this: Query DB → Filter Users → Send Notifications → ❌ WAIT for logs to save → Next chunk …  ( 18 min )

In a recent sprint, one of my junior developers asked me how *LaunchDarkly * actually fits into our React-Native-Web codebase. Not just the syntax — but the system around it. It turned into one of my best mentoring sessions this year. We discussed the fundamentals: LaunchDarkly’s purpose in multi-platform environments Why feature flags matter more than config toggles How variations allow safe experimentation How rules can target specific user segments Why controlled rollouts reduce production anxiety And how our RN-Web setup consumes flags in a unified pattern What surprised me wasn’t the complexity — it was how powerful these concepts become once a developer truly understands them. Teaching this reminded me of a simple truth: And sometimes, the biggest impact you make isn’t shipping a feature… It’s helping someone else ship one, safely.  ( 6 min )

TL;DR Embedding a wallet SDK is no longer just about generating keys and sending transactions. In 2025, it’s about onboarding flows, session keys, smart accounts, gas abstraction, and a UX that feels like any modern app. This guide walks through best practices used by production teams, patterns we’ve seen building Openfort’s embedded wallet SDK, and the architectural mistakes to avoid. 1. What “Embedding a Wallet SDK” Actually Means Most people think “wallet SDK” = signing transactions. In reality, embedding a wallet SDK means your app: creates a wallet inside your app’s UI manages authentication → (email, passkey, OAuth, device) handles key sessions creates + manages smart accounts (EOA → SCW) abstracts gas or sponsors transactions orchestrates signatures securely on web, mobile, or …  ( 9 min )

If you dive into the specification of package.json you might be surprised to learn that next to the options dependencies and devDependencies there are also the options bundleDependencies, optionalDependencies and peerDependencies. Recently we have been migrating our main application to an architecture with multiple frontends based on NextJS. Since we have shared components and logic we expose these as packages with peer dependencies. And I found that a good number of my colleagues are unfamiliar with peer dependencies. In order to explain peer dependencies, it is beneficial to first look at how NPM and PNPM work. Whenever you install a dependency in your project, this dependency can have other dependencies (these are typically referred to as non-root dependencies or transitive dependencies…  ( 13 min )

Inheritance vs Composition: The Principle of Independent Variation Explains Why "Favor composition over inheritance" is one of the most cited design guidelines in software engineering. But have you ever wondered why this works—and more importantly, when inheritance is actually appropriate? The Principle of Independent Variation (PIV) provides a clear, principled answer by focusing on independent change drivers. PIV's guideline is elegantly simple: When two concerns vary independently → prefer composition When two concerns vary dependently → inheritance may be appropriate Let me show you what this means in practice. Consider a payment processing system. At first glance, you might design an inheritance hierarchy: abstract class Payment { // Infrastructure methods protected void log…  ( 10 min )

Inheritance vs Composition: The Principle of Independent Variation Explains Why "Favor composition over inheritance" is one of the most cited design guidelines in software engineering. But have you ever wondered why this works—and more importantly, when inheritance is actually appropriate? The Principle of Independent Variation (PIV) provides a clear, principled answer by focusing on independent change drivers. PIV's guideline is elegantly simple: When two concerns vary independently → prefer composition When two concerns vary dependently → inheritance may be appropriate Let me show you what this means in practice. Consider a payment processing system. At first glance, you might design an inheritance hierarchy: abstract class Payment { // Infrastructure methods protected void log…  ( 10 min )

Social platforms love visuals. Tweets perform great, but screenshots? They're messy. Cropped weird. Inconsistent. Hard to brand. What if you could turn any tweet into a clean, polished, branded image with just a few lines of code? In this tutorial, you'll learn how to convert tweets into beautiful social-ready graphics using a simple REST API — no browser automation, no manual screenshots, and definitely no fiddling with design tools. Traditional screenshot APIs: Capture the whole browser with UI clutter Break when Twitter's layout changes Aren't consistent across devices Give you zero control over branding With a rendering-based endpoint, you can: Apply your brand fonts, colors, and watermarks Get a clean tweet layout every time Automate the whole process Use it for IG posts, LinkedIn …  ( 11 min )

If you search online for how to draw a triangular shape in CSS, chances are the top results will still recommend the border method, as described in this 15-plus-year-old CSS-Tricks article: The idea is a box with zero width and height. The actual width and height of the arrow is determined by the width of the border. In an up arrow, for example, the bottom border is colored while the left and right are transparent, which forms the triangle. .arrow-up { width: 0; height: 0; border-left: 5px solid transparent; border-right: 5px solid transparent; border-bottom: 5px solid black; } I still stand by most of what I wrote in my original article: this method is a hacky solution from a time when there were no other CSS options. It works, but it isn't how borders were meant to be used. …  ( 8 min )

Les développeurs Web3 ont une opportunité unique en 2025. Les entreprises cherchent des solutions plus simples, les utilisateurs veulent de la transparence et les fondateurs early stage cherchent des prototypes rapides. La bonne nouvelle est que beaucoup de projets Web3 utiles peuvent être construits par un seul développeur. L’accessibilité du marché augmente aussi grâce aux services qui simplifient les interactions avec les actifs numériques. Les paiements crypto, par exemple, deviennent bien plus faciles pour les utilisateurs grâce à des outils comme MoonPay, ce qui permet aux développeurs de créer des produits Web3 plus intuitifs et plus compatibles avec le grand public. Voici dix idées concrètes que vous pouvez coder cette année. 1. Un explorateur Web3 minimaliste pour débutants Créer …  ( 7 min )

I’m curious what the community thinks about this scenario. Immich (photos) Nextcloud (files) Jellyfin (media) Vaultwarden (passwords) Home Assistant (smart home) Guacamole (remote access) With a simple click - install - runs locally flow. No VPS, no cloud dependency, no third-party servers. Just your own device on your own network. Would this: Because right now the barrier is objectively high for most people: Docker knowledge required Reverse proxy setups Domain routing SSL, certificates Backups Updates Port forwarding Security hardening Many of us enjoy that challenge, but most people won’t go through that for privacy. So which future would you prefer? -Self-hosting stays niche, technical, and exclusive -Self-hosting becomes mainstream, easy, and widely adopted This ongoing debate is shaping how we at Safebox create a new tool for running multiple self-hosted apps locally, and we aim to align with community values. Some technical highlights of the project, for those interested: If you’d like to try it out, check the Github repo: https://github.com/safeboxnetwork/framework-scheduler Website: https://safebox.network/ https://discord.gg/aBP8bz6N8J Thanks in advance to anyone who takes a look or shares their thoughts.  ( 7 min )

In part 1 of this series, I have discussed Ingress controllers and Gateway APIs as a way to control ingress traffic into applications deployed on top of a Kubernetes cluster. In the second of this series, I will discuss intra-cluster (East-West) traffic passed through inside a Kubernetes cluster (i.e., between the Pods) and egress traffic outside the Kubernetes cluster. Before we deep dive into the article, let's review some important concepts: Container Network Interface (CNI): A Cloud Native Computing Foundation project that provides a standardized specification and set of plugins for configuring network interfaces and connectivity for Linux containers (Reference: CNI - the Container Network Interface). Network Policies: Rules that control the allowed inbound and outbound network …  ( 12 min )

All Data and AI Weekly #217-24Nov2025 ( AI, Data, NiFi, Iceberg, Polaris, Streamlit, Flink, Kafka, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AISQL, Search, Unstructured Data ) NiFi + AI + AI Data Cloud + Iceberg. https://www.reddit.com/r/DataEngineeringForAI/hot/ Monthly NYC and Youtube Events https://lu.ma/PINSAI https://github.com/tspannhw/TrafficAI https://docs.snowflake.com/en/user-guide/tables-iceberg-query-using-external-query-engine-snowflake-horizon 🎤 Where in the AI Landscape is Tim Spann Tim Spann is having an incredibly busy season, driving innovation and sharing key insights across the industry. Event / Project Details Link New App Launch: RPIThermalStreaming Tim has built and launched a new application for thermal streaming using RPi technology. Vie…  ( 7 min )

Introduction The reason I ended up writing this post started from pure coincidence. While browsing through technical blogs(sorry its korean ref), I saw an article that made me think about path auto-completion. When I first read the post, I genuinely thought it was impressive. But there were parts I couldn’t immediately wrap my head around, and I kept wondering whether there was room for improvement. In the projects I had worked on before, I didn’t even have path auto-completion— Because of that, whenever a route changed, I had to update every single reference. So I decided that I needed path auto-completion and type safety of my own. But I wasn’t satisfied with applying the blog’s solution as it was. Not to criticize it, but I didn’t like the idea of redefining every route inside a singl…  ( 9 min )

Introduction While working on a personal project, I learned about constexpr. I understood the difference between const and constexpr. However, I wondered why constexpr is necessary when const seems sufficient. I want to share what I found in this article. A keyword that promises the compiler that a value cannot be changed. const int MAX_USERS = 100; MAX_USERS = 200; // Compilation error! Characteristics The initialization value can be known at compile time or at runtime. int A; std::cin >> A; const int B = A; // Valid // Constant B is determined at runtime, but cannot be changed afterwards. // The value doesn't need to be known at compile time, but once set, it cannot be changed. It becomes more powerful when used with references and pointers. const int* ptr1; // Ca…  ( 8 min )

A guide to understanding Python Poetry, how it works, and how to use it in your next Python project. Python development looks simple from the outside. But managing real projects is rarely easy. You need to install packages, update them, avoid version conflicts, create virtual environments, and prepare your project for distribution. Many beginners think they can handle everything with pip and venv. This works for small scripts, but becomes messy once your project grows. Poetry solves this problem by giving you one clean workflow for managing Python projects from start to finish. Poetry brings structure to your project. It automates package management, creates virtual environments independently, and prepares your project for building and publishing. It replaces many scattered tools, bringing…  ( 12 min )

SELECT row_identifier, RTRIM(XMLAGG(XMLELEMENT(E, chunk_content).EXTRACT('/text()') ORDER BY chunk_num).GETCLOBVAL()) as full_text FROM ( SELECT t.ROWID as row_identifier, c.chunk_num, blob_to_text_range(t.CONTRAGRP, c.start_byte, c.end_byte) as chunk_content FROM ZExecDetail t CROSS JOIN LATERAL ( SELECT level as chunk_num, (level * 4000 - 3999) as start_byte, (level * 4000) as end_byte FROM dual CONNECT BY level <= CEIL(blob_length(t.CONTRAGRP) / 4000) ) c WHERE t.INTERNTIMESTAMP = to_orating_from_syb('May 25 2012 12:50:13:406PM') AND t.ORDERID = '1214650eat6' ORDER BY t.ROWID, c.chunk_num ) WHERE chunk_content IS NOT NULL GROUP BY row_identifier  ( 6 min )

1. Entendo a funcionalidade do ZOD Zod é uma biblioteca de validação de dados para TypeScript que permite definir schemas de forma simples e tipada. Com ele, é possível validar desde valores primitivos, como strings e números, até estruturas complexas, como objetos e arrays, garantindo segurança e consistência nos dados da aplicação. const formSchema = z .object({ username: z.string().min(5).max(12).trim(), email: z.email().min(5).trim().trim(), password: z.string().min(7), confirmPassword: z.string().min(7), }) .refine( (data) => data.confirmPassword === data.password, "As senhas não se coencidem" ); Antes de começarmos, precisamos instalar o Zod em nosso projeto. Para isso, basta executar o seguinte comando: yarn add zod. Com a instalação conclu…  ( 8 min )

AI Amnesia: Selectively Forgetting with Geometric Unlearning Imagine an AI trained on customer data that needs to 'forget' information related to a specific individual for legal reasons. Or, consider a model plagued by bias from a tainted dataset, where we need to surgically remove the problematic influences without destroying the model entirely. Can we make AI selectively forget, without harming its overall performance? At its core, geometric unlearning is about carving out a precise 'forgetting pathway' in the model's learning space. It's like carefully removing a single brick from a building's foundation without causing a collapse. The key idea is to decompose the 'forget' update into two components: one that is orthogonal to the knowledge we want to keep and another that is tangenti…  ( 7 min )

Awesome Directories launches on Product Hunt THIS FRIDAY Here's everything you need to know in one thread 🧵 (And how you can help, if you want) What is it? 300+ curated launch directories for indie hackers Free forever Open source (Apache-2.0) No sign-up required Built by a founder, for founders CLI available for nerds Why I built it I wasted 20 hours researching directories for my last launch That's it. That's the reason. Key features: Filter by DR, dofollow, pricing Multi-select checklist export Community voting (wisdom of crowds) Real-time search Screenshot generator for social Submission tracking (optional) Launch day plan (Friday 12:01am PST): I'll be: Responding to EVERY comment on PH Sharing behind-the-scenes on Twitter Probably drinking too much coffee Refreshing PH every 30 seconds How you can help (if you want): ✓ Upvote on Product Hunt (Friday morning) I'm not asking for charity. Only if you genuinely find it useful. Link in the first comment Why am I building in public? Because 15k LinkedIn followers with 200 avg impressions taught me: Follower count means nothing. Transparency > polish. See you Friday 🚀 I'll be the guy nervously refreshing PH at 12:01am https://www.producthunt.com/products/awesome-directories Let's goooo buildinpublic #indiehacker #opensource  ( 6 min )

Building a 3D Interactive Portfolio Room — Looking for Collaborators! Hi everyone — I’d like to share a creative side project that I’ve been working on: a 3D interactive room portfolio, built purely with HTML, CSS, and JavaScript, where certificates hang on the walls like art in a gallery. 👉 Repo: Repo 👉 Live Demo: Live Demo It’s an experimental portfolio template (not a finished product) — you can walk around a room, rotate your view, zoom in and out, and click on certificates to view them in full. Everything is done using CSS 3D transforms, so there’s no heavy graphics engine — just creative use of basic web technologies. Includes ambient sound effects, smooth animations (like an opening door), and keyboard interactions (+/- to zoom, Enter to open door, 0 to reset view). Fully r…  ( 8 min )

Artificial Intelligence (AI) is revolutionizing how companies onboard new employees. Integrating AI into the employee onboarding process enhances efficiency, personalization, and engagement. From automating repetitive tasks to providing intelligent recommendations, AI ensures a seamless and modern onboarding journey. AI streamlines onboarding by automating administrative tasks like document collection, account setup, and policy acknowledgment. This reduces manual work for HR teams, allowing them to focus on meaningful interactions. AI also helps track progress and ensures that new hires complete all necessary steps on time. AI-driven systems can tailor the onboarding experience to individual roles, skills, and learning preferences. Personalized learning paths, automated reminders, and targ…  ( 7 min )

Developer interest in blockchain has shifted drastically over the past two years. Instead of chasing hype cycles, engineers are now focusing on networks with real throughput, reliable tooling, and predictable fees. Searches related to buying specific assets like XRP and Solana remain popular among retail users, but developers are prioritizing ecosystems that match their technical needs. Most newcomers encounter onboarding tools like MoonPay when entering crypto for the first time, yet developers quickly move beyond on-ramps to evaluate how these networks perform under real workloads. Below is a roundup listicle of the network developers are adopting for serious builds. 1. Ethereum and Layer 2 Rollups Developers remain loyal to Ethereum due to its extensive tooling and documentation. Rollup…  ( 7 min )

Dell "No Bootable Device" Error: Why 73% of Repair Shop Diagnoses Are Wrong (And the Free Fix They Won't Tell You) The screen goes black. White text appears. Your Dell laptop displays words that make your chest tighten: "No Bootable Device Found. Press any key to reboot." You press a key. It reboots. Same message. Your mind races through everything stored on that machine. The presentation due tomorrow. Tax documents. Three years of photos. All of it, suddenly inaccessible behind five words on a black screen. Here's what repair shops don't want you to know: this error almost never means what you think it means. Your hard drive probably didn't explode. Your files likely aren't gone. In fact, 73% of "No Bootable Device" errors don't require hardware replacement at all — they're configuratio…  ( 15 min )

Dell "No Bootable Device" Error: Why 73% of Repair Shop Diagnoses Are Wrong (And the Free Fix They Won't Tell You) The screen goes black. White text appears. Your Dell laptop displays words that make your chest tighten: "No Bootable Device Found. Press any key to reboot." You press a key. It reboots. Same message. Your mind races through everything stored on that machine. The presentation due tomorrow. Tax documents. Three years of photos. All of it, suddenly inaccessible behind five words on a black screen. Here's what repair shops don't want you to know: this error almost never means what you think it means. Your hard drive probably didn't explode. Your files likely aren't gone. In fact, 73% of "No Bootable Device" errors don't require hardware replacement at all — they're configuratio…  ( 15 min )

Deploying applications to AWS EC2 often becomes a repetitive, manual, and error-prone process involving SSH setups, Nginx configurations, environment handling, instance provisioning, and constant debugging. DeployEase is a platform I built to eliminate all of that complexity. DeployEase provides a clean, guided, and automated workflow for deploying Node.js, Python, React, and static applications directly to AWS EC2 with real-time logs, SSH access, autoscaling support, volume resizing, and complete instance lifecycle management. Whether you're a solo developer, a student learning cloud, or a freelancer building for clients, DeployEase streamlines deployment into an efficient, predictable, one-click experience. DeployEase uses OAuth GitHub login to let you sign in instantly. Your GitHub repo…  ( 9 min )

As developers (and especially as students), we often fall into the trap of signing up for a dozen "free tier" SaaS products. Notion for notes. Jira for tasks. Vercel for hosting. Slack for chat. It works great... until you hit a paywall, or they change their pricing, or you realize you don't actually own any of your data. I decided to fix this. Over the last few weeks, I curated a massive list of Open Source alternatives to the most popular SaaS tools. These are tools you can self-host, run locally, or use for free without giving away your privacy. I call it The Free Stack. Here are 5 of my favorite discoveries from the list: If you love Notion but hate that it's cloud-only, check out AppFlowy. It's built with Rust and Flutter, meaning it's blazingly fast. You have 100% control over your data. This is a game changer. Coolify is an all-in-one PaaS that helps you self-host your own applications, databases, and services. It connects to your GitHub and deploys automatically. Designers, rejoice. Penpot is the first open-source design and prototyping platform meant for cross-domain teams. It is SVG-based and works right in the browser. You probably know this one, but it deserves the hype. Supabase gives you a Postgres database, Authentication, instant APIs, and Realtime subscriptions. Stop paying huge monthly fees just to have a conversational form on your site. Typebot is a visual conversational form builder that you can host yourself. I have compiled 50+ tools covering: 🏰 Project Management 💬 Communication 🛠️ Dev Tools 📊 Analytics 🔒 Privacy You can find the full list on GitHub here: The Free Stack on GitHub If you found this useful, dropping a Star ⭐ on the repo really helps others find these tools! Let me know in the comments: What is your favorite self-hosted tool that I missed?  ( 7 min )

In MongoDB, a write concern of w:1 indicates that a write operation is considered successful once the primary node acknowledges it, without waiting for the data to be replicated to secondary nodes. While this reduces latency, it also introduces the risk that if the primary fails before replication occurs, the written data could be lost. In replica sets with multiple voters, such writes can be rolled back if a failure happens before a majority acknowledges the change. This is not the default setting. Most clusters (Primary-Secondary-Secondary) use an implicit w:majority write concern, which ensures durability in the event of a zone failure. The implicit default write concern is w:1 only when an arbiter is present (Primary-Secondary-Arbiter) or when the topology lowers the number of data-bea…  ( 13 min )

Is Otter.ai uploading your confidential meeting data to the cloud? For enterprise teams handling sensitive information, healthcare organizations bound by HIPAA, or European companies navigating GDPR compliance, this isn't just a privacy concern—it's a business liability. According to IBM's 2024 Cost of a Data Breach Report, the global average cost of a data breach reached $4.88 million. Yet teams still need AI-powered meeting intelligence. Enter Meetily: a privacy-first alternative that delivers Otter.ai's capabilities without compromising your data security. TL;DR: ✅ Meetily: 100% local processing vs Otter.ai's cloud-only approach ✅ Complete data sovereignty: your data never leaves your device ✅ Dual transcription engines: Whisper (state-of-the-art accuracy) or Parakeet (optimized for spe…  ( 12 min )

Sean and Amanda dive headfirst into the looming Warner Bros. Discovery sale, debating whether Paramount, Comcast or Netflix will swoop in and what that means for the media landscape. They then shift gears to the baffling new Colleen Hoover adaptation Regretting You, sharing equal parts confusion and curiosity over its surprising twists. Next up: Joachim Trier’s Sentimental Value. They unpack why some viewers are moved to tears while others remain unmoved, then bring Trier himself on the mic to reveal how much of his own life seeps into Stellan Skarsgård’s character, the art of deep listening in filmmaking, and the nostalgia of shooting in his childhood neighborhood. Watch on YouTube  ( 6 min )

In today's fast-paced world of software development, managing infrastructure can be a complex and time-consuming task. However, with the maturity of Infrastructure as Code (IaC) tools, developers and system administrators have powerful solutions to automate and streamline provisioning. In this post, we'll delve into Terraform, the industry-standard tool for this purpose, while also touching on the shifts in its ecosystem that every engineer should know about. Terraform, developed by HashiCorp (now an IBM company), is a source-available infrastructure provisioning and configuration management tool. It enables developers and operations teams to define and manage infrastructure resources declaratively using simple, human-readable configuration files.​ With Terraform, you can provision and man…  ( 8 min )

It's Thanksgiving week in America. Many of us will have a short work week. Then a holiday and a long weekend. What are you building this week? What are you working on this week? Are you attending any events this week? Are you doing anything for Thanksgiving? Continue Job Search. It's the end of the year so not many places are hiring. I doubt many are doing it this week due to the short week. Network. Redo resume Project work. Content for side project. Work on my own project. Follow Content & Project Calendar for November. Test streaming with new modem. Blog I want to blog more often and produce more than I did this time last year. Last year Nov word was count 5,568. So far this year, including this post 2,242. A bit behind but I'm working on two more posts for the week. 2,242/5,568…  ( 17 min )

Shipped a tiny tool: Recipe Step Normalizer. Paste a list of recipe steps → get clean, numbered JSON you can use in code or automation. Demo: https://recipe-title-normalizer.vercel.app/step-normalizer Code: https://github.com/FelixJohnsson/recipe-title-normalizer  ( 6 min )

Dell "No Bootable Device" Error: Why 73% of Repair Shop Diagnoses Are Wrong (And the Free Fix They Won't Tell You) The screen goes black. White text appears. Your Dell laptop displays words that make your chest tighten: "No Bootable Device Found. Press any key to reboot." Here's what repair shops don't want you to know: this error almost never means what you think it means. Your hard drive probably didn't explode. Your files likely aren't gone. In fact, 73% of "No Bootable Device" errors don't require hardware replacement at all — they're configuration problems that take 15 minutes to fix yourself for free. The diagnostic process for "No Bootable Device" is simple, but it requires time. Here's the reality: Diagnosing configuration problems takes 30-60 minutes Replacing a hard drive takes…  ( 8 min )

AI Auto translation tools. In a global market where every single message matters, even the tiniest mistake in ChatGPT translation can cost the business trust, revenue and loss of brand credibility. Nowadays, companies translate the content faster than ever, however, accuracy has not caught up with the speed. And it is exactly this gap where problems start. For many years, companies used to depend on basic auto-translation tools to promote global communication. These tools were said to provide the advantages of speed, affordability and convenience but their hidden risks were never mentioned. The main issue is that of accuracy. The basic tools do word-by-word translation rather than capturing the deeper meaning. Thus, it leads to errors in tone, cultural mismatches and expressions that misle…  ( 11 min )

I’m building DocBeacon - secure document sharing and tracking platform. It shows exactly how readers interact with each page: scroll depth, dwell time, replays, and even heatmaps of attention. Recently I’ve been thinking about going a step further. Instead of just showing behavior metrics, what if DocBeacon could estimate how emotionally or cognitively engaged a reader is with a document? Something like a persuasion score that reflects how much a sales proposal actually moved them — did they seem convinced, neutral, or totally uninterested? The basic idea sounds simple: use past reading behavior data and train a model to predict the likelihood of acceptance. But here’s the problem: I have plenty of behavioral data (how people read), yet no solid labels on what happened after they read. Without knowing whether the reader ended up accepting the proposal, replying, or ghosting, the model can’t really learn meaningful correlations. Has anyone here tackled a similar cold-start problem? Curious to hear how others would approach building a persuasion predictor when you only have half the story.  ( 8 min )

I built a custom range slider for Retool with a histogram built in Range sliders in Retool are great until you need to understand your data. They let you pick min and max values, but they don’t tell you anything about the distribution itself. I kept running into this when building internal tools, so I built a custom range slider that includes a histogram, handles uneven distributions and exposes clean values. It’s written in TypeScript and works as a native Retool component. 🔗 GitHub repo: https://github.com/StackdropCO/custom-range-slider-retool-component 🔗 More Awesome Retool components here: https://github.com/StackdropCO/awesome-retool-components Here’s why I built it and how to use it. A real example that pushed me to do this: I needed a filter for “years of experience” inside a R…  ( 8 min )

Meme Monday! Today's cover image comes from last week's thread. DEV is an inclusive space! Humor in poor taste will be downvoted by mods.  ( 7 min )

Intro Here is this week's update on my plugin suite for Unreal Engine development in Neovim. My stance hasn't changed: "For heavy-duty debugging, full IDEs like Visual Studio or Rider are still king." So, this week, I released a debugging plugin to grant that wish, along with a specialized file explorer dedicated to the Unreal Engine project structure. UDB.nvim: A zero-config debugger bridge (no launch.json needed!). UNX.nvim: A lightweight logical file viewer & symbol tree specialized for UE projects. With these additions, I feel like Neovim has finally become a true "IDE for Unreal Engine." UDB.nvim is, as the name suggests, a bridge connecting Neovim (nvim-dap) and the Unreal Engine debugging environment. Its biggest feature is "Almost Zero-Config." launch.json. UDB automates this b…  ( 8 min )

Some companies seem to keep moving forward while others struggle to keep pace. The difference often lies in digital transformation consulting, not in buying the latest software, but in rethinking how a business operates at every level. It’s about modernizing outdated systems, improving workflows, and helping teams work faster, smarter, and more efficiently. Consultants play a crucial role in this process, guiding organizations through strategy, technology adoption, and cultural change. They help businesses bridge the gap between where they are and where they need to be, ensuring progress that’s both measurable and sustainable. This article explores what digital transformation consulting really means, how it works in practice, and what to look for when your business is ready to evolve. Wha…  ( 11 min )

The math that changed how I think about AI features A client messaged me about adding ChatGPT to their invoicing app: "Can we add AI to help users write invoice descriptions? Budget is $15K." They have 500 users paying $20/month. Seemed straightforward. I started prototyping. The code was simple: const response = await openai.chat.completions.create({ model: "gpt-4", messages: [{ role: "user", content: userPrompt }] }); But before quoting, I decided to calculate the real long-term costs. What I found surprised me. I spent two weeks diving into AI economics. Not because I'm some expert, but because I couldn't find clear information anywhere about what it actually costs to run AI features at scale. Quick note: I built a simple calculator while researching this. If you want to run your o…  ( 9 min )

2024 was the year of pilot projects. Pharma companies experimented with GenAI, tested narrow use cases, and debated its potential. In 2025, the conversation has shifted. Leaders are no longer asking if GenAI belongs in life sciences. The question now is where and how. That shift matters. GenAI is not just a shiny new tool. Done right, it can transform how pharmaceutical companies accelerate R&D, manage compliance-heavy processes, and improve the daily lives of both field teams and patients. But done wrong, it risks creating inefficiencies, compliance headaches, or worse, regulatory pushback. At Newpage, we see two patterns emerge when working with pharma and biotech teams. First, there are a handful of use cases that are mature, safe, and ready to deliver ROI right now. Second, there are o…  ( 7 min )

Every life sciences leader agrees on one thing: Salesforce should be a game-changer for pharma. On paper, it offers a complete view of HCPs, faster patient engagement, compliant workflows, and insights that help commercial and medical teams move smarter. But here is the paradox. Despite all that potential, a large percentage of Salesforce implementations in pharma fall flat. Some never take off, others become expensive shelfware, and a few even create compliance risks that no one anticipated. So what is really going on? As explored in detail at Newpage, it is rarely the platform itself that causes failure. The real challenge lies at the intersection of three forces: technology, regulation, and real-world pharma workflows. If those are not aligned from the start, even the best Salesforce bu…  ( 7 min )

Microsoft и GitHub объединили аналитику времени выполнения с рабочими процессами разработки, чтобы использовать ИИ для приоритизации угроз и автоматизации исправлений. Нативная интеграция между Microsoft Defender for Cloud и GitHub Advanced Security позволит решить проблему «многолетней накопившейся задолженности по безопасности в корпоративных кодовых базах» Инструмент уже доступен в общедоступной предварительной версии. Он подключает аналитику времени выполнения из производственных сред непосредственно к рабочим процессам разработки. Цель — помочь организациям определить приоритетность уязвимостей и использовать ИИ для их более быстрого устранения. «На протяжении всей моей карьеры я наблюдал, как тенденции в области уязвимостей менялись. Неважно, насколько хорош и точен наш механизм обн…  ( 8 min )

🎨 Stop Fighting with ANSI Codes Let's be honest — styling terminal output in Python has always been a bit of a pain: # The old way 😓 print('\033[1m\033[91mError:\033[0m \033[4mFile not found\033[0m') Compare that to this: # The Vargula way ✨ import vargula as vg vg.write("Error: File not found") Much better, right? But Vargula goes way beyond just making syntax prettier. It brings color theory, accessibility checking, and professional UI components to your terminal. pip install vargula import vargula as vg # HTML-like tags for styling vg.write("This is red and bold") # Hex colors work too vg.write("Custom orange text") # Background colors with @ vg.write("Black on yellow</@ye…  ( 10 min )

Managed cloud support with Steadfast Solutions covers infrastructure management, performance monitoring, and 24/7 help desk assistance. They handle migration, configuration, and ongoing optimization to keep your cloud environment secure and efficient. This service includes server administration, security monitoring, backup, and maintenance. By outsourcing these tasks, Steadfast Solutions lets your internal IT team focus on strategic projects while ensuring seamless cloud operations and quick problem resolution.  ( 6 min )

Using Docling-Agent to build powerful agentic operations on documents, such as writing, editing, summarizing, etc. For those who’ve followed my blog, Docling needs no grand introduction. My unwavering support for this tool stems from its unparalleled capacity to simplify document processing, effortlessly parse diverse formats — including an advanced understanding of complex PDFs (and also other widely used document formats— and provide truly seamless integrations with the broader GenAI ecosystem. It’s truly a game-changer. Recognizing the growing demand for intelligent automation, the Docling team (almost) recently introduced a powerful agent module. This addition provides advanced capabilities crucial for implementing ‘agentic’ document processing, where intelligent agents can actively i…  ( 12 min )

For over a decade, Pandas has been the undisputed champion of data manipulation in Python. Every data scientist's journey begins with learning DataFrames, and Pandas has been synonymous with tabular data processing. But in 2025, a powerful challenger has emerged that's forcing professionals to reconsider their entire workflow: Polars. Core Bottlenecks Single-Threaded Execution: Pandas runs on a single core by default, leaving your multi-core processor mostly idle Memory Inefficiency: Python's object model creates overhead, especially with string data types Eager Evaluation: Every operation executes immediately, missing optimization opportunities Sequential Processing: Operations happen one after another, even when they could run in parallel When the Pain Hits • Large CSV Files: 10-15 m…  ( 11 min )

We just wrapped an action-packed session walking through Google's new Gemini 3 model and how it performs inside Kilo Code. We talked benchmarks and pricing, and even shipped an entire video game with one prompt using Kilo Deploy. Headline: Gemini 3 is Google's most capable model so far. Crushes benchmarks like GPQA Diamond, Humanity's Last Exam, MathArena Apex, and tops WebDev Arena and Terminal Bench 2.0 It has 1M+ token context, and up to ~65k output tokens It's designed to feel smart, concise, and direct. It's better at understanding intent so you don't have to over-prompt. Why should developers care? Google explicitly calls Gemini 3 their best vibe coding & agentic coding model yet. It picks human-sensible architectures and libraries, writes extendable code, and organizes mul…  ( 9 min )

Coffee Haven ☕ - Cross-Platform Coffee Shop App I built a professional coffee shop application for the Uno Platform AI Challenge Professional Design Clean, modern UI with warm color palette Real coffee images from Unsplash Smooth hover animations Gold badge labels (Signature, Popular, etc.) Menu Items Espresso ($3.50) Cappuccino ($4.50) Latte ($4.00) Americano ($3.00) Mocha ($5.00) Macchiato ($3.75) Cross-Platform Works on Windows, Mac, Linux Mobile responsive Web browsers (Chrome, Firefox, Safari, Edge) iOS/Android (via browser) HTML5 CSS3 with gradients and animations Vanilla JavaScript Google Fonts (Playfair Display + Inter) Responsive Grid Layout Elegant brown/cream/gold color scheme Playfair Display serif font for headings Interactive buttons with feedback Card hover effects Professional coffee photography Built for the WOW Factor category - creating a stunning, fast-loading coffee shop experience  ( 6 min )

Better Agents CLI with Kilo Code and LangWatch This is a guest post by Rogerio Chaves, CTO and Founder of LangWatch. He brings 14 years of software engineering experience to solving one of AI's biggest challenges: making AI agents more reliable, testable, and production-ready. Today, more than 95% of enterprise agent projects fail to reach production due to a lack of reliability, evaluation discipline, and trust. Most are abandoned entirely, never making it past prototype phase. The industry needs to mature. We need to build Better Agents. Over the past two years, LangWatch has worked with leading companies to help them cross the barrier of agent reliability and bring agent systems safely into production, while Kilo Code has been the leading open source coding assistant helping teams to…  ( 7 min )

Today, we talk about a bug that shows in practice how "code sausage" can cause a series of problems related to the last line effect and careless copy-paste, as well as lead to new errors. The PVS-Studio team not only creates new diagnostic rules, but also gradually refines the existing ones. For example, we've recently enhanced one of the oldest diagnostic rules in the C# analyzer, V3001, to make it detect redundant parentheses more accurately. As a result, the analyzer started detecting new bugs, one of which we show you. This case was detected in the Space Engineers project; this is one of the projects in our internal regression testing database. We use a specific old project version to compare how the analyzer behaves on the same code across updates. But if we look at the latest source…  ( 8 min )

As developers, we're wired to build and ship. We launch a feature, merge the PR, and move on to the next ticket. But in the world of B2B SaaS, the real work begins after the customer signs up. Shipping features isn't enough. If your users churn, you're just filling a leaky bucket. Great B2B customer retention isn't just the job of a Customer Success Manager; it's an engineering challenge. It's about building a product that's not just functional, but indispensable. This checklist is your playbook for instrumenting, automating, and engineering a retention strategy that scales. The goal here is simple: achieve Time To First Value (TTFV) as fast as humanly (and programmatically) possible. This is where you set the tone for the entire relationship. Don't make new users hunt for the value. Guide…  ( 10 min )

The Beatles' "Now And Then" won a Grammy in 2024, but John Lennon had been dead for over four decades when he sang the lead vocals. Using machine learning to isolate Lennon's voice from a decades-old demo cassette, the surviving band members completed what Paul McCartney called "the last Beatles song." The track's critical acclaim and commercial success marked a watershed moment: artificial intelligence had not merely assisted in creating art—it had helped resurrect the dead to do it. As AI tools become embedded in everything from Photoshop to music production software, we're witnessing the most fundamental shift in creative practice since the invention of the printing press. The traditional image of the artist—solitary genius wrestling with blank canvas or empty page—is rapidly becoming a…  ( 23 min )

I’m excited to announce Rubree, a modern regular expression editor for Ruby developers — inspired by Rubular but rebuilt from scratch using Ruby, Rails, and WebAssembly (Wasm). Rubular has long been a beloved tool for Rubyists, but it comes with some limitations: Runs on older Ruby 2.5.9, which affects speed and maintainability Not open-source, making customization and internal investigation difficult Matching is server-dependent, requiring backend processing for every input Cannot visualize regex structure as a railroad diagram (like Regexper) Replacement preview is unavailable Rubree addresses these challenges by redesigning both the UI and backend logic, running entirely in the browser for a fast, modern regex experience. All regex evaluation runs locally in the browser using …  ( 7 min )

As developers, we love clean architecture, elegant APIs, and systems that don’t explode on Sunday nights. My “crypto-in-everyday-life” journey started when I tried paying for coffee with USDT during a trip. The terminal froze, the barista stared at me like I was trying to pay in ancient runes, and I realized something important: Crypto works great - as long as your On/Off-Ramp doesn’t betray you. On/Off Ramps are the invisible plumbing connecting Web3 to real-world payments. converting crypto → fiat fiat → crypto compliance checks bank integrations fraud detection settlement rails They’re the reason crypto spending feels like normal spending… or like a debugging session gone wrong. Some exchanges already provide full-scale solutions - crypto payrolls, instant withdrawals, automated convers…  ( 7 min )

I was digging around some of my old blogs recently and spotted something interesting, well not interesting, but unexplained. I blog about the Power Platform, a lot, and one of the things I don't blog about is crypto, so I was surprised to see that a few on my blogs had these tags: #crypto #cryptocurrency #bitcoin #offers #web3 Yep it looks like someone hacked my tags, most likely in conjunction with spam comments to push something dodgy. I wanted a quick way to check all of my blogs and fix any, and luckily there is a API for that. As Dev.to is built on Forem it has a robust and open api (No known rate limits and auth only for personal permissions like creating a blog). The docs are great as well, https://developers.forem.com/api/, so it's easy to use. I used the https://dev.to/api/artic…  ( 7 min )

A Data-Driven Approach to Predicting Winners in the Wildest Market on Solana The Solana memecoin ecosystem moves faster than almost any market in crypto. Tokens appear, pump, rug, and disappear in minutes. When I started reviewing and improving the Solana Memecoin Intelligence System, I expected a simple prediction model. Instead, I discovered a deeply engineered ecosystem combining machine learning, blockchain intelligence, real-time market data, and a live Telegram alerting system. This project taught me far more than ML. It taught me how to engineer signals, build monitoring infrastructure, process high-velocity market data, and design an end-to-end intelligence pipeline for one of the most chaotic markets in crypto. Here’s a breakdown of what I learned. One thing became immediately cle…  ( 9 min )

The first time I ran the same code review prompt through GPT-4.1, Claude Sonnet 4.5, and Gemini 2.5 Pro simultaneously, I discovered something uncomfortable: I'd been trusting the wrong model for the wrong tasks. GPT-4.1 gave me creative refactoring suggestions but missed a critical edge case. Claude caught the edge case immediately and explained the type safety issue in detail. Gemini flagged a performance bottleneck I hadn't even considered. Each model saw something the others missed. For two years, I'd been using ChatGPT exclusively because it was the first AI I'd adopted. I assumed if one AI could help with code, it was good enough. But watching three different models analyze the same problem revealed a truth most developers don't realize: no single AI model is best at everything, and …  ( 11 min )

👋 Hey Dev Community! I recently built Voyage Planner, a sleek, Firebase-powered travel booking website designed to make planning trips effortless for adventurers, families, and luxury travelers. In this project, I explored: 🎯 What I wanted to build – Dynamic audience-specific travel experiences 🛠️ Tech Stack – HTML, CSS, JavaScript, Firebase (Auth, Firestore, Storage) ⚠️ Challenges – Responsive design, Firebase integration, dynamic content segmentation 📚 Lessons Learned – Modular design, best practices for Firebase, audience-focused content 🔁 What I’d do differently next time – Improve scalability & add multi-user dashboards 💡 Curious how I made it all come together? Read the full detailed blog with images, icons, and step-by-step guide here: 👉 Read the Full Blog on Hashnodes: https://senzyscripts.hashnode.dev/building-voyage-planner-modern-travel-booking-website  ( 6 min )

├── 🧠 Introduction to Databases & What is SQL ├── 🛠️ Installing SQL Tools (MySQL, SQLite, PostgreSQL, DBeaver) ├── 📄 Understanding Tables, Rows, Columns & Data Types ├── 🔍 SELECT Statement – Fetching Data ├── 🎯 WHERE Clause – Filtering Records ├── 📊 ORDER BY – Sorting Results ├── 🎛️ LIMIT / TOP – Restricting Output ├── ✍️ INSERT INTO – Adding New Data ├── 🔄 UPDATE – Modifying Existing Data ├── ❌ DELETE – Removing Data ├── 🏗 CREATE, ALTER, DROP Tables ├── 🔗 SQL JOINS – INNER, LEFT, RIGHT, FULL OUTER ├── 🧮 Aggregate Functions – COUNT, SUM, AVG, MIN, MAX ├── 🧱 GROUP BY & HAVING – Grouped Calculations ├── 🔁 Subqueries – Nested SQL Queries ├── 🧠 CASE Statements – Conditional Logic ├── 🛡 Constraints – PRIMARY KEY, FOREIGN KEY, NOT NULL ├── 🚀 Practice Projects – Library DB, Sales Report, Student Records ├── 📈 Next Steps – Indexing, Views, Triggers, Stored Procedures Comment for more  ( 6 min )

Google's had a comfortable run as the gatekeeper of internet traffic. Twenty-five years of SEO professionals optimizing for one algorithm, one set of rules, one way of thinking about search. Then ChatGPT Search launched. Now we're not just optimizing for crawlers and ranking factors. We're optimizing for AI that reads, understands, and synthesizes content before deciding whether to cite it. The rules haven't just changed—the entire playing field shifted. And here's the thing: most of the SEO advice you'll find is still stuck in 2019. "Just create quality content" they say, as if that phrase has ever meant anything specific. So let's talk about what actually works when AI is the middleman between your content and your audience. ChatGPT Search doesn't crawl the web like Google. It uses a com…  ( 13 min )

Over the last few weeks I've been building an 8-register VM in Rust for a small Lisp-like DSL, plus a proof pipeline that turns programs into STARK proofs of execution. The DSL is compiled by the zk-lisp-compiler crate into a compact Op sequence, and proofs are generated through a dedicated backend built on top of the winterfell crate. A few details that might be interesting from a Rust/efficiency point of view: I defined a unified execution trace (VM registers, RAM tables, Merkle gadget, Poseidon2 lanes, ROM accumulator) in a single Columns layout. The VmTraceBuilder simulates the Op sequence, seeds registers, and fills a Winterfell TraceTable while keeping allocations predictable (pre-zeroed trace, cached Poseidon2 params, partition selection). The backend implements a SegmentPlanner tha…  ( 8 min )

My Experience With Zed Code Editor Introduction I’ve been wanting to write something like this for a long time. If you’ve seen my channel, you already know I have a whole series for these kinds of long-format talks — the Experience Series, where I share what it feels like to actually use a program, tool, OS, browser, or whatever madness I touched that week. So far, I’ve done this only in video format: THE MINI MICRO EXPERIENCE THE BRAVE BROWSER EXPERIENCE Those covered Brave Browser (goated but heavy — classic Chromium Energy) and Mini Micro (maybe the most underrated tool for learning game dev). But today, we're not talking browsers or game engines. Today I’m talking about the absolute GOATED code editor for me: ZED. CODE. EDITOR. I’ll also mention some other editors I trie…  ( 8 min )

Razor Pages vs MVC: Quando escolher e por quê Uma análise prática e arquitetural para quem constrói aplicações .NET modernas no mundo real. Ao iniciar um novo projeto web em .NET, uma das primeiras decisões é escolher entre ASP.NET Core MVC e ASP.NET Core Razor Pages. Embora ambos coexistam dentro do mesmo framework, eles representam modelos mentais diferentes — e essa escolha impacta clareza, manutenção, ritmo de entrega e arquitetura. Neste artigo, vamos explorar quando Razor Pages é superior ao MVC, quando o contrário é verdadeiro, e — principalmente — como arquitetos e desenvolvedores podem decidir de forma prática e segura. A diferença entre Razor Pages e MVC não é técnica — é conceitual. Controllers + Actions Fluxo centralizado Flexível para APIs e rotas complexas Ótimo para aplicações grandes e arquitetadas PageModel por página Fluxo distribuído Ideal para CRUDs e sistemas de gestão Arquitetura limpa e previsível Em resumo: MVC organiza por tipo. Razor Pages organiza por funcionalidade. Cada página possui seu próprio PageModel, facilitando leitura e manutenção. Menos arquivos, menos roteamento manual, mais foco em regras e serviços. ERP, CRM, backoffice, intranets — todos combinam melhor com páginas orientadas a funcionalidade. Domínio → Serviço → Repositório → PageModel → UI. Fluxos avançados, lógica rica de controle. React/Angular pedem APIs independentes. MVC oferece mais controle. Quando seu design exige isso. Tipo de Projeto Melhor Opção CRUD corporativo Razor Pages Ferramenta administrativa Razor Pages Portal interno Razor Pages Aplicação SaaS baseada em formulários Razor Pages API + SPA MVC ou Minimal APIs Rotas complexas MVC Para a maioria dos sistemas reais: Comece com Razor Pages. Só evolua para MVC se realmente houver necessidade. Razor Pages simplifica, organiza e acelera entregas — especialmente quando combinado com serviços, repositórios, validações e um bom guideline arquitetural. 👉 Criando uma ASP.NET Core WebApp Razor Pages do zero (em 5 minutos).  ( 7 min )

What is Fork Fork is a git client that runs your git commands for you inside of an interface. Similar to other products like GitHub Desktop abd GitKraken. For provides a great deal of flexibility when setting up custom commands. The interface is decent and provides quick and easy GUI for all your Git needs. However, being able to setup your client to run various commands on the repo is very handy. Currently I have my JetBrain's products plus the ability to scan for secrets using nosey parker. All very very handy. I even use AICommit2 from time to time with a click of a button. Using fork to delete a file out of git history. 1.) Create a Custom Command 2.) Call the custom command 'Remove Selected File from History' Target needs to be File visible in file context menu 3.) Select Bash Command Add the following Script: git filter-branch --force --index-filter "git rm --cached --ignore-unmatch '${file}'" --prune-empty --tag-name-filter cat -- --all && git for-each-ref --format="%(refname)" refs/original/ | xargs -n 1 git update-ref -d && git reflog expire --expire=now --all && git gc --prune=now --aggressive Now you can simply right click on the offending file and remove its entire history (remember to ignore the file so it doesn't get committed again).  ( 6 min )

Data analysts spend more time cleaning data than analyzing it. In fact, in most real-world projects, 60–80% of your time goes into preparing data for meaningful insights. Here are the five most common data quality problems and practical steps to solve each one. 1. Missing or Null Values Missing data can distort metrics, create gaps in reports, or lead to inaccurate ML models. Causes: How to fix it: Identify missingness patterns using COUNT(*) in SQL or df.isna().sum() in Python. Drop rows only when missing data is irrelevant. Impute using averages, medians, or domain logic. Use Power Query’s “Replace Errors” or “Fill Down” functions for structured fixes. 2. Inconsistent Formatting You’ve probably seen this: “Kenya”, “kenya”, “K E N Y A”, or mismatched date formats in the same column. Why it happens: How to fix it: Apply standard casing (upper/lower/title). Convert all dates to a unified ISO format (YYYY-MM-DD). Use Excel Power Query’s “Transform → Format” options. In SQL, standardize with functions like UPPER(), TRIM(), or TO_DATE(). 3. Duplicate Records Why it happens: How to fix it: Identify duplicates using ROW_NUMBER() windows in SQL. Use Power Query’s “Remove Duplicates”. Implement unique IDs early in the pipeline. In Python, use df.drop_duplicates(). 4. Outliers and Incorrect Values Some values are valid extreme cases; others are simply errors (like a customer aged 600). Why it happens: How to fix it: Visualize distributions using box plots or histograms. Apply domain thresholds or rule-based logic. Use interquartile ranges or z-scores for statistical outlier detection. Create automated validations in Power BI or SQL. 5. Mixed Granularity Data at different levels combined into one column or table — e.g., weekly and monthly data in the same dataset. Why it happens: How to fix it: Split datasets by granularity before analysis. Create dimensional tables for dates, products, etc. Aggregate or disaggregate consistently before joining. Use a proper star schema when possible.  ( 7 min )

Configuring DNS correctly while using a VPN is one of the most effective ways to enhance your online privacy, security, and browsing efficiency. Many users rely solely on their VPN without realizing that their DNS settings can still reveal their activities. In this blog, you’ll discover how to configure DNS when using a VPN, why it matters, and the top benefits of doing it right. Faster browsing speed Access to geo-restricted services Prevention of DNS leaks Better protection against cyber threats Why Configuring DNS With Your VPN Is Essential Google DNS: 8.8.8.8 / 8.8.4.4 Step 3: Configure DNS on Your Device Select your active connection Manually enter the DNS values Step 4: Enable DNS Leak Protection in Your VPN App Most premium VPNs include built-in DNS leak protection. Turn it on to ensure airtight security. Step 5: Test for DNS Leaks Use tools like “DNS Leak Test” to confirm your setup is safe.  ( 7 min )

When working with Git, developers often need to understand how much their current branch differs from the main branch. This can help in assessing the scope of changes, planning reviews, or making decisions before merging. One useful metric is the total number of lines added and removed between branches. Counting the lines of code changed gives a quick snapshot of the volume of work done. It helps to: Gauge the size of your feature or fix. Estimate code review effort. Track progress against expectations. Identify large or complex changes that might require extra testing. The Git command line provides simple ways to check these differences precisely. The most straightforward command is: git diff --shortstat main...HEAD Here’s how it works: git diff shows changes between commits or branches. main...HEAD compares your current branch (HEAD) with the main branch. --shortstat gives a brief summary report with the total files changed, and lines added and deleted. For example, running this command might show: 3 files changed, 45 insertions(+), 20 deletions(-) This means across 3 files, you've added 45 lines and removed 20 lines compared to main. If you want to see the exact line changes per file, you can use: git diff main...HEAD --numstat This command outputs a list where each line contains the number of added and deleted lines per file. It’s handy for deeper inspection or for scripting purposes.  ( 7 min )

Thinking about buying “discounted” software this Cyber Monday? Before you spend big, remember: there’s almost always an open-source alternative that costs 90% less, all year round. As developers, we know the value of transparency, flexibility, and community-driven tools. Choosing open source doesn’t just save money - it gives you freedom, control, and a better understanding of your stack. 💻 Stop paying for features you might never use. Choose wisely. Don’t just save today, build sustainably, every day.  ( 6 min )

The Great Logic Revolution: Why I Killed && and || in My Programming Language For decades, programmers have struggled with boolean operator confusion. How many times have you seen: if (user.isActive && user.hasPermission || user.isAdmin) { // Wait, does this mean (A && B) || C or A && (B || C)? } I decided enough was enough. In Coderive v0.2.3, I completely removed && and || operators. Here's why and what replaced them. The Problem with Traditional Boolean Operators · Precedence confusion: && vs || precedence trips up beginners and experts alike The Solution: Quantifier-First Logic Coderive introduces any[] and all[] quantifiers: # Instead of: if (name != "" && age >= 0 && age = 0, age = 60] # "All scores must be 60 or above" any[users.isActive] # "At least one user must be active" 🐛 Fewer Bugs No more operator precedence debates. The syntax forces clarity. 📚 Beginner Friendly Reads like natural language, lowering the learning curve. ⚡ Built-in Short Circuiting if all[expensiveOperation(), shouldSkip] { # expensiveOperation() won't run if shouldSkip is false } Built Against All Odds What makes Coderive unique is its development story: · Built entirely on a phone using Java NIDE, QuickEdit, and Termux Technical Architecture Coderive isn't just syntax sugar - it's a full compiler: · Dual parser system: ANTLR + manual recursive backtracking Try It Yourself # Run interpreter java -jar coderive.jar program.cod # Compile to native java -jar coderive.jar --native program.cod Join the Discussion I'm convinced quantifier-first logic is the future, but I want to hear from you: · Would you use a language without && and ||? Check out the project: Coderive on GitHub Let's rethink programming together! 🚀  ( 7 min )

1. Introduction: The Engine Room of Automation n8n is a robust, open-source workflow automation tool and low-code platform. While standard nodes (Set, If, Merge, Switch) handle linear task execution, the Python Code Node represents the "engine room" of sophisticated automation. It allows users to implement custom logic, complex data manipulations, and performance optimizations that standard nodes cannot achieve. The Code Node and Inline Expressions empower users to perform operations—specifically in data science, string manipulation, and mathematical calculation—that are often more verbose or difficult in JavaScript. A single Python node can effectively replace chains of 10 to 15 standard nodes, resulting in cleaner, more maintainable, and significantly faster workflows. Why Use Python i…  ( 16 min )

Cursor enforces a few core habits to keep edits safe, traceable, and user-friendly. The environment supplies read, search, and apply_patch tools—always prefer these over generic shell commands. Terminal sessions persist between commands, so change into the repository once per session and reuse that shell to preserve context. Because other contributors or automated processes may have touched files, never revert or overwrite changes you didn’t create; instead, work around them unless the user explicitly asks otherwise. Cursor forbids destructive history rewrites such as git reset --hard or force-checkouts unless specifically requested, and it discourages amending commits unless told to do so. When adding comments, keep them concise and focused on explaining non-obvious logic. Default t…  ( 7 min )

I recently published a simple pseudocode runner/editor, and the interesting part is that I built it without any real coding background. The project relies almost entirely on the tools provided by Compyle, including their custom lexer and parser. My contribution was mainly setting up the environment, hosting the project, and making the interface usable. Why I Created This Students preparing for IGCSE and A-Levels often need a quick way to test pseudocode. Most existing tools are either outdated or limited, so having something modern, clean and accessible felt useful. How It Works The heavy lifting in this project wasn’t done by me. Compyle’s internal system handles the important logic: A custom lexer to tokenize pseudocode A custom parser that interprets the structure CodeMirror for the editor interface A clean UI already integrated into their setup Since all the complex parts were already built, I focused on integrating everything, hosting the project, and ensuring the platform feels smooth to use. What I Actually Did Set up hosting Connected the existing components Tweaked the UI where needed Tested the runner for basic I/O behavior I didn’t build CodeMirror, and I didn’t write the lexer or parser. Compyle’s tools handled all of that. My main role was putting the pieces together and making the runner publicly accessible. Why I’m Sharing This A lot of beginners think they need years of experience before they can launch something. This project shows that with the right tools, you can build something functional even if you’re just getting started. If you want to try the pseudocode runner, here’s the project link: Https://pseudorun.tech  ( 7 min )

Consider that your backup is running smoothly. Your dashboards are green. The DevOps team is sleeping peacefully. And yet, behind the calm surface, something is happening. Your API limits are being chewed up, call by call, until you’re throttled into silence. Suddenly, your system stalls – quietly and invisibly. The irony is, you build a backup system for resilience. Now, it’s the vulnerability. There’s a quiet assumption built into most backup systems. It’ll resolve itself if you just throw enough bandwidth, retries, and threads at the problem. However, in DevOps, it’s naive. Dangerous. Why is it dangerous? When every DevOps tool communicates through rate-limited APIs, such as GitHub, GitLab, Bitbucket, or Azure DevOps, there is no alternative. SaaS vendors aren’t being punitive when the…  ( 10 min )

We don’t want to use Spring because, at the moment, we are trying to learn Hibernate, which is a framework itself. So we just want to focus on one framework at this point, and that is Hibernate. First, we create the most basic Maven project Adding hibernate-core dependency org.hibernate.orm hibernate-core 7.1.8.Final We also need to connect to the database, for that we need a vendor, and in this case we are using MySQL. So we need the mysql-connector dependency. com.mysql mysql-connector-j 9.5.0 We need to connect to the database now. There are 2 ways to do this: Using xml file: In resources, we cr…  ( 8 min )

In today’s fast-moving digital world, businesses need flexible, scalable, and cost-effective infrastructure to keep up with rapid innovation. That’s exactly where Infrastructure as a Service (IaaS) makes a powerful difference. Instead of investing in physical servers, storage, and networking hardware, organizations can access these resources on-demand through the cloud—paying only for what they use and scaling seamlessly as their needs evolve. What Makes IaaS So Essential Today? Every digital service—from mobile apps to enterprise software—needs reliable infrastructure. Traditional on-premise setups are expensive, slow to scale, and demand regular maintenance. IaaS eliminates those challenges by offering cloud-hosted infrastructure that can be provisioned in minutes rather than weeks. Whet…  ( 7 min )

Fast forward to December 2024: Anna and her co-founder Art Abal just launched Vana—a blockchain that lets people own and monetize their personal data—and it's valued at over $1 billion before even trading publicly. But here's the twist that makes this story absolutely wild: Anna's bedroom wall didn't have posters of pop stars or athletes. She had a picture of Janet Yellen, the U.S. Treasury Secretary. This is the story of two Filipino entrepreneurs who met at MIT, worked on data labeling projects in Philippine slums, and decided to build a blockchain that could fight back against Big Tech's data monopoly. And spoiler alert: they just became the 62nd project on Binance Launchpool, with their mainnet launching on December 16, 2024. Let's dive in. Anna Kazlauskas came to MIT in 2015 thinking …  ( 15 min )

_By: Michael Anggi Gilang Angkasa 🌟Why I Built PQNT For full repository : https://github.com/Michael-Obs66/pqnt  ( 6 min )

Cross-Modal Knowledge Distillation for smart agriculture microgrid orchestration under multi-jurisdictional compliance It all started when I was experimenting with multi-modal AI systems for environmental monitoring. I had been working on a project that combined satellite imagery, IoT sensor data, and weather patterns to predict crop yields. During my investigation of knowledge transfer between different AI modalities, I stumbled upon something fascinating: the same techniques I was using to transfer learning between vision and sensor models could revolutionize how we manage agricultural microgrids across regulatory boundaries. While exploring cross-modal distillation techniques, I discovered that the challenge wasn't just about transferring knowledge between different data types, but ab…  ( 12 min )

Next month we’re launching a platform we’ve been quietly building for a while — but before talking about the product itself, I wanted to share the real story behind why we built it. Over the past month, more than 200 developers and founders joined our Beta list. Most of our time since then has been spent in calls, DMs, and long user interviews trying to understand a simple question: “Why does it still take so long to turn an idea into a working product — even with all the AI tools available today?” What we found was surprisingly consistent across teams, solo devs, and early-stage founders. 📝 1. Requirements Are Still the Silent Bottleneck Most people assume coding is the slow part. I don’t know if my requirements are complete until something breaks. We start building and realize half the …  ( 8 min )

In a rapidly evolving digital landscape, businesses can no longer afford to depend on aging, inflexible, or hard-to-maintain applications. Application modernisation has become the strategic pathway for companies looking to stay competitive, enhance performance, and meet rising customer expectations. Instead of discarding legacy systems entirely, modernisation focuses on transforming them—making your applications faster, scalable, and more aligned with today’s cloud-driven world. Why Application Modernisation Matters Today Legacy applications often come with technical debt, outdated architectures, and high maintenance costs. They might still house valuable business logic, but they limit innovation and slow down digital transformation efforts. As customer demands grow and technology advances…  ( 7 min )

AI Agents have evolved a lot from when I started using them in 2022 till now. If you pay close attention, you will notice that these agents are growing not just in capabilities, that is, the kind of task they can do, but in understanding, which in my opinion is far important than the type of tasks they do. I say this for two reasons: An AI agent is as good as the person using it. An AI agent with a deep understanding of a particular context or subject matter will outperform generalistic AI agents long-term. If you look at this from a wide view, the same applies to humans. A person who has developed knowledge, understanding and expertise in one area, for example, Finance, has built not just skill but discipline over an extended period of time. Say that person wants to learn Product des…  ( 15 min )

This article is the first time that Alibaba Cloud Simple Log Service (SLS) systematically unveils the product philosophy, architecture design, and core technology accumulation behind SLS SQL Copilot. We will provide an in-depth look at how this intelligent analysis assistant starts from real user needs and integrates cutting-edge AI capabilities with over a decade of SLS log analysis best practices to create a future-oriented and intelligent log analysis experience. Origin Eight years ago, SLS launched its SQL analysis service for the first time. This transformed log data from simple storage into a subject for interactive query analysis, and users began to realize the value of their data. Five years ago, SLS experimented with self-service data exploration. The Data Explorer service was des…  ( 17 min )

The Problem That Inspired This Article Recently, I encountered an interesting situation. I opened a certain web resource (which I won't name) and tried to view a list of data. The page started loading... and loading... and the browser froze. After restarting the page and opening DevTools, the picture became clear: the API endpoint was returning all records in a single request - tens of thousands of rows in a JSON response over 50 MB in size. The browser simply couldn't handle it. Testing the request through Postman confirmed my suspicions: GET /api/items Response: [ { "id": 1, "name": "Item 1" }, { "id": 2, "name": "Item 2" }, ... { "id": 50000, "name": "Item 50000" } ] // 50 MB JSON, response time: 12 seconds This incident prompted me to write an article about how to properly s…  ( 10 min )

Modern teams can resolve production issues faster by connecting Xperience by Kentico with n8n and AI coding agents. The goal is simple: capture errors, route them to an orchestrated workflow, classify root causes, and draft fixes as governed pull requests. Keep humans in control, protect secrets, and maintain a complete audit trail. 💡🛠️🔒 This post lays out a practical architecture for software engineers, DevOps practitioners, and solutions architects. It covers event collection, scheduled forwarding, n8n orchestration, AI triage, GitHub automation, and governance. The design emphasizes human-in-the-loop, security, and observability at every step. Why this matters, you get speed without losing control. 🙂📈 Event capture in Xperience by Kentico via the built-in event log. ✅ Scheduled tas…  ( 10 min )

Documentation debt is real. Every developer knows the sinking feeling of discovering their API docs are three versions behind the actual implementation. The endpoint that was renamed last sprint? Still documented under the old name. That new required parameter? Nowhere to be found in the docs. The traditional approach to API documentation—manually writing and updating documentation files—creates an unsustainable maintenance burden. But there's a better way: automatic documentation generation from your OpenAPI or Swagger specifications. This isn't about shortcuts or compromising quality. It's about leveraging the specifications you're already maintaining to create documentation that's always accurate, always current, and always trustworthy. The fundamental problem with manual documentation …  ( 14 min )

I. What Is an Automotive MOST Cable? Core Basics Key Definition & Working Principle An automotive MOST cable is the physical transmission medium for the MOST bus system, which transfers digital data (audio, video, navigation maps, and sensor data) between vehicle components at speeds up to 150 Mbps (for MOST 150, the latest standard). Unlike point-to-point wiring, MOST uses a ring topology: all connected devices (e.g., head unit, speakers, rear-seat entertainment) form a closed loop, allowing data to flow in either direction. The cable’s core function is to maintain signal integrity over long distances (up to 20 meters in a vehicle) while resisting electromagnetic interference (EMI) from engine components and other wiring. This is achieved through specialized materials and shielding—critic…  ( 11 min )

Originally published at Perl Weekly 748 Hi there, Just couple of days ago, we had another development release: Perl v5.43.5. Among the many changes in this release, my favourite is Named Parameters in Signatures. For further details, please check out the perldelta page. The LPW 2025 is finally happening on 29th Nov 2025. So if you are available then please do join us for the tech meet. I would request you to register if you are planning to attend as this will help the organisers schedule the day accordingly. It's a great opportunity to meet friends and attend talks from speakers like Sawyer, Paul Evans and Stevan Little. I have submitted a talk, Design Patterns in Modern Perl, and it has been accepted. I am excited to share my ideas with fellow tech friends. Here is the list of talks for y…  ( 18 min )

One of the new providers that Brighter V10 supports is MongoDB. In this article, I'll explore how to use it with the Inbox and Outbox patterns. MongoDB is a popular NoSQL document database that stores data in flexible, JSON-like documents. Its scalability and performance make it an excellent choice for high-throughput applications, and its document model maps naturally to the message structures often used in distributed systems. We will build a .NET 8+ service that consumes/produces messages from a Kafka topic, processes them using Brighter, and uses a MongoDB database as the persistent inbox and outbox to guarantee that all messages are sent. We also need to configure a distributed lock to avoid publishing duplicate messages when running this application in a multi-node environment. You c…  ( 10 min )

Overview Hey everyone! 👋 If you've been paying attention to the dev world lately, you probably noticed Google dropped something pretty wild: Firebase Studio. And trust me, this isn't just another IDE with a fancy AI chatbot slapped on the side. This is a full-blown, cloud-based development environment that fuses Project IDX, Firebase services, and Gemini AI into something that feels genuinely different. Think of it as your complete AI app development lab, accessible from anywhere, with an AI assistant that doesn't just autocomplete, it understands your codebase and can actually take action. Let's start! 🤙 Firebase Studio is a cloud-based, agentic development environment powered by Gemini that includes everything developers need to create and publish production-quality AI apps quickly, …  ( 11 min )

Uma das novas implementação do Brighter V10 é o MongoDB. Neste artigo, explorarei como utilizá-lo com os padrões Inbox e Outbox. O MongoDB é um popular banco de dados NoSQL de documentos que armazena dados em documentos flexíveis no formato JSON-like. Sua escalabilidade e desempenho o tornam uma excelente escolha para aplicações de alto throughput, e seu modelo de documentos mapeia naturalmente para estruturas de mensagens comumente usadas em sistemas distribuídos. Construiremos um serviço .NET 8+ que consome/produz mensagens de um tópico Kafka, processa-as usando Brighter, e utiliza um banco de dados MongoDB como inbox e outbox persistentes para garantir que todas as mensagens sejam enviadas. Também precisamos configurar um lock distribuído para evitar a publicação de mensagens duplicadas…  ( 10 min )

A Beginner-Friendly Guide to Modern Analytics Engineering This article introduces dbt (data build tool) and explores several foundational concepts: What dbt is Core principles Why we transform data How dbt structures SQL development How macros, tests, documentation, and ref work 🚀 What is dbt? dbt is an open-source transformation framework that allows anyone comfortable with SQL to build modular, version-controlled, production-grade data pipelines. Unlike ingestion tools, dbt does not move data; it transforms the data already in your warehouse. dbt helps reshape and standardize raw data for analytics: Cleaning Deduplication Restructuring Filtering Aggregation Joining 🏗 dbt Is Open Core DBT CORE DBT CLOUD Open-source data transformation Fully mana…  ( 7 min )

Emulates cloud-native MLOps locally I have built a data science environment that allows me to construct data pipelines and manage machine learning experiments on a local PC, while providing a user experience that is as cloud-like as possible. According to Gemini: This environment functions as a sandbox for learning a "cloud-native development style" by replacing major components used in cloud environments—such as S3, orchestrators, and ML tracking services—with local Docker containers. Alright. If you say so, this serves as educational content. The source code (docker-compose.yaml, etc.) is available on GitHub. Data store: Versity S3 Gateway emulates S3 storage. Source code repository: Just a Git daemon. Pipeline: Prefect orchestrates pipelines. Experiment management: MLflow tracks model…  ( 7 min )

Dependency management, version pinning, and virtual environments often become a source of frustration in Python projects. Different machines install different versions, requirements files become messy, and package conflicts pop up unexpectedly. This is exactly where Poetry steps in — a modern tool that brings structure, consistency, and automation to Python development. In this guide, you’ll learn everything you need to start using Poetry confidently. How to create new Python projects with Poetry How to manage virtual environments How to read and configure pyproject.toml How to pin dependency versions Why poetry.lock is essential How to use the most important Poetry commands How to add Poetry to an existing project Every Python project depends on external packages — FastAPI, NumPy, Pandas,…  ( 8 min )

Documentation lacks instructions for installation on Fedora. So, here is a quick guide. sudo dnf update -y sudo dnf install -y dnf-plugins-core For Fedora 41+: sudo dnf config-manager addrepo --from-repofile=https://download.docker.com/linux/fedora/docker-ce.repo For Fedora 40 or earlier: sudo dnf config-manager --add-repo https://download.docker.com/linux/fedora/docker-ce.repo Install Docker packages: sudo dnf install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin -y sudo systemctl start docker sudo systemctl enable docker sudo groupadd docker sudo usermod -aG docker $USER # Log out and back in for changes to take effect sudo dnf install git -y git clone https://github.com/cvat-ai/cvat cd cvat For a specific version: git clone -b v2.1.0 https://github.com/cvat-ai/cvat cd cvat docker compose up -d docker exec -it cvat_server bash -ic 'python3 ~/manage.py createsuperuser' Open Google Chrome and navigate to: http://localhost:8080 Log in with your superuser credentials. Command Purpose docker compose ps Check container status docker compose logs -f View live logs docker compose down Stop all containers docker exec -t cvat_server python manage.py health_check Health check Browser: CVAT only supports Google Chrome Version check: Verify your Fedora version and DNF version compatibility Storage: Data is stored in Docker volumes by default Network access: Set CVAT_HOST environment variable if accessing from other machines That's it! CVAT is now ready for annotation tasks.  ( 7 min )

Pulumi - DNS in AWS What This post explores two things. First it explores setting up a DNS domain, zone and records as part of route 53. Then, we will go further and explore using output of other services as records. For the purposes of demonstrtation this will be a new record that will be created if an EC2 instance exists. The pattern of route53 is the last step in the infrastructure journey. Setting up infrastructure, and assigning a friendly domain name, and www record to the infrastructure is a relatively normal thing to do. The pulumi templates in this article will allow you to deploy this pattern quickly and easily. I will re-use the EC2 instance that I have in another Pulumi stack in order to have a virtual machine up and running. I will also delegate a domain to AWS a…  ( 12 min )

Date: November 24, 2025 Incident: App built successfully 2 minutes ago, now refuses to compile Developer Status: Confused and slightly panicked Coffee Consumed: Probably not enough Picture this: You're coding away, your Flutter app is running beautifully on the emulator. You make a small change, hit save, and BAM! Your world collapses with this cryptic message: FAILURE: Build failed with an exception. * What went wrong: com/sun/xml/bind/v2/model/runtime/RuntimeNonElement (wrong name: com/sun/xml/bind/v2/model/runtime/RuntimeNonElem%nt) Wait... RuntimeNonElem%nt? Where did that random % come from? Are we getting hacked? Is my keyboard broken? Did I accidentally summon a demon while coding at 2 AM? Spoiler alert: None of the above. Welcome to the wonderful world of corrupted Gradle cac…  ( 9 min )

An in-depth exploration of GPTGirlfriend, a sophisticated AI companion, examining its technology, societal impact, and the ethical considerations of human-AI relationships. Introduction The concept of companionship has undergone a radical transformation in the digital age. From pen pals to social media friends, the ways we connect are constantly evolving. The latest frontier in this evolution is the emergence of sophisticated artificial intelligence designed not just to assist, but to relate. At the forefront of this movement is the phenomenon of the GPTGirlfriend. This is not a physical entity, but a complex language model programmed to simulate the nuances of a romantic or deeply personal partnership. The rise of the GPTGirlfriend represents a significant shift in human-computer interact…  ( 9 min )

Learning CSS-Cascading Style Sheet Language used to describe the presentation and visual formatting of a Document written in markup language like HTML and XML. we have three ways to apply: Inline, Internal, External. Inline : Styles are applied directly to the element using "style" attribute. That's for Quick changes and discouraged method. Internal : Style are applied using tag in head section of the HTML Document. External : This is the most common and recommended method. Styles a defined in separate CSS file to linked into the HTML page using Link tag. selectors: CSS selectors define which HTML elements your CSS rules will style. The mainly using selectors in CSS. Class selectors, ID selectors, Universal Selector, Element Selector, Attribute Selectors, Pseudo-class Selectors,  ( 6 min )

Kirby Air Riders’ “Starlit Journey” Deep Dive This video breaks down the Kirby Air Riders main theme, “Starlit Journey,” and shows exactly why it’s bursting with joy. You’ll get a timestamped tour of the track—from the dreamy 0:59 intro and catchy 2:47 verse to the uplifting 5:56 chorus, emotive 9:51 bridge, and triumphant final choruses at 10:47. Along the way, the host shares fun music-theory insights into what makes each section so infectious, and wraps up with a heartfelt shout-out to why they love this tune. Plus, if you’re craving more, there are links to Patreon, merch, Discord, and Twitter for the full 8bit Music Theory experience. Watch on YouTube  ( 6 min )

High availability is one of the most important requirements for any SaaS platform. Users expect applications to work all the time, in every region, under any conditions. Building a high availability SaaS architecture is not only about adding more servers. It requires careful planning, solid infrastructure, reliable failover mechanisms, and consistent observability. Kubernetes provides a strong foundation for these requirements and helps teams design systems that stay online even during failures. In this article, you will learn how to build a highly available SaaS platform using Kubernetes. This guide focuses on the technical aspects that developers and architects rely on when designing cloud native SaaS systems. You will also find answers to common developer questions like how Kubernetes …  ( 9 min )

Everything Wrong With The Wiz In 15 Minutes Or Less With Wicked back in theaters, the CinemaSins team takes a quick spin down the yellow brick road to pick apart the 1978 classic The Wiz in their trademark snarky style—all under 15 minutes. They also plug their full slate of social handles, from YouTube channels (@TVSins, @CommercialSins, @CinemaSinsPodcastNetwork) to Twitter, Instagram, TikTok, Discord, Reddit, a sinful poll and Patreon support, while giving a shout-out to their writing squad. Watch on YouTube  ( 6 min )

TL;DR Cinemasins just dropped “Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less,” a rapid‐fire, tongue‐in‐cheek rundown of every nitpickable moment in the movie, complete with their trademark witty jabs and “sins” count. They’ve also spammed the linktree with their other YouTube channels (@TVSins, @commercialsins, @CinemaSinsPodcastNetwork), a sinful poll, Patreon support, and a full list of writers and social links (Twitter, Instagram, TikTok, Discord, Reddit) for diehard fans to follow. Watch on YouTube  ( 6 min )

Recently, AWS introduced a new feature in IAM, that allows you to sign JWT tokens using managed OIDC provider. On a per AWS Account basis you can enable and receive unique endpoint with managed JWKS keys to configure third-party identity pools. If you want to know more how it functions, I have a blog post how to host your own OIDC provider on CloudFront. As I'm learning Google Cloud now, I decided to use GCP's Workload Identity Pool as the receiving end of the token issued by AWS IAM (even though this service also supports native AWS authentication). The goal for today is to make a Lambda function be able to write to Google Cloud Storage bucket and insert some rows into BigQuery table. The whole setup is on the diagram below: For each of the steps below, I assume you are already authentic…  ( 14 min )

WARNING: To use n8n on AWS with a custom domain you must own that domain (your website). If you don't have one you can create get one here: Hostinger Domain NOTE: Copy and paste each command one by one. 1. AWS Account and EC2 Instance Setup https://aws.amazon.com/ Launch an EC2 instance: Quick Start: choose Amazon Linux. Key pair: Create new key pair (download .pem and keep it safe). Network (security group): allow HTTP (80) and HTTPS (443) inbound. Launch the instance. Wait until it becomes running. (Why this matters: the instance is your server that will run n8n in Docker.) 2. Allocate an Elastic (Static) IP and Associate It In the AWS EC2 console go to Elastic IPs (top-right or left menu). Click Allocate Elastic IP address and allocate one. Associate the Elastic IP with the EC2 …  ( 9 min )

Introduction 1. Finding the Right Script Fresh and engaging Budget-friendly and achievable Appealing to the target audience Clear in theme and message Producers often read hundreds of scripts before choosing one that has real potential. Once a script shows promise, they secure the rights and begin developing it. 2. Developing the Story What Development Includes: Improving dialogue and pacing Strengthening characters Fixing plot gaps Adjusting scenes to meet the planned budget Jake Seal highlights that development shapes the script into something that can be realistically filmed while still keeping the story strong. 3. Building the Production Team Key People Producers Bring Onboard Director – defines the visual style and storytelling approach Casting Director – finds the right actors Cinema…  ( 7 min )

“È bravo, ma non si impegna.” ( “He is very smart, but if he put in more effort, he could achieve so much more.” ) This sentence followed me for my entire childhood. “You could have gotten an A… if only you had worked harder.” Sometimes I even got worse grades than classmates who had identical results because they “worked hard”, so they were rewarded, while my work was discounted and attributed to “talent.” I can’t say whether those comments shaped who I am today, or whether something deeper was already there. Pushing me to always do something more - although I always knew I could put in more effort. But the reason I didn’t give “everything” is simple: Good enough was, simply, good enough. Somewhere in my head, there has always been a calculation: What is the right effort/result ratio th…  ( 11 min )

When building modern web applications with Nuxt, security should never be an afterthought. One of the most effective ways to protect your app from malicious attacks—especially Cross-Site Scripting (XSS)—is to implement a Content Security Policy (CSP). In this article, we’ll explore: What Content Security Policy is and why it matters How to manually configure CSP in Nuxt How to enable CSP using the Nuxt Security module Upcoming first-class CSP support in Nuxt core Enjoy! Content Security Policy (CSP) is an HTTP response header that defines where the browser is allowed to load resources from. Instead of trusting everything, you specify rules such as: Which domains can execute JavaScript Which images can be displayed Whether inline scripts are allowed Whether frames and iframes can load exte…  ( 9 min )

Click here to open patent link More than a decade ago, while leading a team at IBM, I co-authored and successfully prosecuted U.S. Patent 8,635,366 — “Communication Routing” — a foundational invention in context-aware communication systems. The goal was simple yet visionary: connect people through the right device at the right time — without GPS or invasive tracking. Back then, GPS was expensive, unreliable indoors, and privacy concerns were rising. Our patented method used existing enterprise access control data (badge swipes) to infer location and route calls — a low-cost, privacy-first alternative that predated modern AI presence systems by nearly a decade. Key Innovation (Claim 1): “Routing communication to an individual by identifying current location from access control information.…  ( 7 min )

Part 1: Decision-Making, Architecture, and Problem Solving Executive Summary whether to use AI—it’s how intentionally you use it while preserving engineering judgment. As a senior backend engineer working with Laravel and distributed systems, I’ve spent the past couple of months developing a structured AI-assisted workflow. The outcome? ✔️ 70% faster execution on delegated tasks ✔️ Zero compromise on architectural or business logic integrity ✔️ Cleaner design decisions backed by structured reasoning This framework is not about replacing human engineers. It’s about establishing a hybrid model where AI accelerates mechanical execution, and engineers lead architecture, decision-making, and correctness. I wasn’t always this disciplined. When I first started using AI, I treated it like a magic …  ( 9 min )

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React is a powerful library for building user interfaces, but as applications grow in complexity, developers often run into a few tricky state management issues. Three of the most common are the "zombie child" problem, UI tearing in concurrent mode, and performance degradation from React's Context API. Fortunately, a lightweight and elegant state management library called Zustand provides a simple solution to all three. Let's dive into what these problems are and how Zustand helps you sidestep them entirely. The "zombie child" effect happens when a parent component re-renders, but a child component that has been unmounted (or is in the process of unmounting) still manages to trigger a state update. This child is a "zombie"—it's not really alive in the component tree, but its old logic (oft…  ( 9 min )

TL;DR: Created Errloom - a browser-based playground with 15 (soon 100+) scenarios based on real outages from companies like Reddit, GitLab, and Discord. Practice debugging without breaking prod. GitHub repo here. The Problem I Was Trying to Solve "Why is the database suddenly slow?" Here's the thing: you can't really practice this stuff. What I Built Real logs (sanitized, obviously) You investigate, form hypotheses, and work toward the root cause. Then compare your approach to what actually happened. Current Scenarios (15 total): 🌐 Infrastructure Chaos CDN cache poisoning ⚡ Application Nightmares Memory leaks in Node.js services 🔐 Security Incidents Accidentally committed AWS keys The Tech Stack Each scenario is a JSON config that defines: typescriptinterface Scenario { How It Works …  ( 8 min )

The Natural Language Processing is developing rapidly. It assists machines to learn and react to human language with a graceful and purposeful manner. Currently, in 2025 NLP services will be more precise, more adaptable, and helpful in everyday activities. These are the most important trends that define the field. NLP models are also improving in their tone, purpose and context reading. They are able to tackle the complex questions in a better way. This assists the users to get right information and easier discussions. The developers are considering models which can interpret the meaning behind every message. With NLP systems, which support multiple languages, there is a more effortless global communication. Such tools are translators, summarizers, and content analyzers in the real-time. …  ( 7 min )

I’ve been building a project, and I finally pushed it live: Abliteration : a less‑filtered LLM chat and API. At a high level: It’s a web chat where you can talk to a “less‑filtered” LLM. It’s also an API you can call from your own apps (OpenAI‑style JSON). It’s aimed at developers doing things like: red‑teaming / robustness testing internal tools creative / experimental projects The goal isn’t “no rules, pure chaos”. The goal is: “stop refusing every borderline or research prompt, but still block clearly harmful stuff.” When I started playing with different LLM APIs, I kept running into the same pattern: I’d write a prompt for something perfectly legitimate (e.g. security testing, fiction, simulations). The model would respond with some variation of “I’m sorry, I can’t help with that”. I’d spend more time fighting the guardrails than working on the actual idea. Trying to keep v1 small and focused: Web chat interface Simple REST API for chat completions API keys + usage dashboard Small free tier so you can kick the tires Basic quickstart examples (curl)  ( 6 min )

There's a troubling trend I've been observing in software development, and it keeps me up at night. AI-powered code generation has become incredibly popular, and one of its most promoted use cases is generating unit tests. On the surface, this seems like a clear win. who wouldn't want to automate the tedious work of writing tests? But I'm increasingly convinced that AI-generated tests, particularly in the hands of inexperienced developers, might actually destroy the practice of unit testing rather than enhance it. Let me walk you through how this plays out. An inexperienced developer writes some production code. They've heard that tests are important, so they ask their AI assistant to generate a test suite. Within seconds, they have hundreds of lines of testing code, complete with mocks, a…  ( 8 min )

As a developer, you're constantly using tools and platforms to make your workflow more efficient, your code cleaner, and your projects more manageable. What if I told you that you could monetize your knowledge of these tools and services by promoting them to others—and make a decent income in the process? It’s called affiliate marketing, and it’s one of the most effective ways to earn money online, especially for developers like yourself. In this post, I’m going to walk you through how affiliate marketing works for developers, why it’s a great side hustle, and how you can start promoting the tools you already use to earn some extra income. Let’s start with the basics. Affiliate marketing is a process where you promote a product or service, and when someone makes a purchase through your ref…  ( 10 min )

Intro: Setup: Version 1: Traditional natural language instruction, written in a descriptive, narrative style. You are a sustainability expert specializing in utility invoice analysis and data normalization. Your mission is to extract and standardize key information from provider invoices to support environmental reporting, carbon accounting, and analytics. Input : Invoice Fields to Extract: { "Bill ID": "...", // Invoice or bill number "Bill Date ": "...", // Invoice or Bill date "Account Id ": "...", // Account Number or Customer reference number "Invoice Amount": "...", // Total Amount "provider_name": "...", "service_type": "...", // electricity, water, gas, fuel, waste "meter_id": "...", // Unique meter identifier "PDL": "...", // Point of Delivery…  ( 10 min )

Accurately tracking employee attendance is pivotal for any business striving to maintain productivity and compliance. Attendance management software offers a practical solution, automating the recording of work hours and absences to eliminate errors and simplify operations. Savvy HRMS stands out as the best attendance management software provider in India, with a product tailored to help Indian businesses meet their unique workforce management needs efficiently. Savvy HRMS attendance management software also offers transformative value by freeing up HR teams from tedious manual tracking tasks, allowing them to focus on strategic initiatives that drive business growth. Companies that adopt this software often experience massive time savings of up to 4 to 5 hours a week for HR personnel whil…  ( 8 min )

Among many programming languages, the venerable Lisp has always been a unique presence, a uniqueness often summarized as “Lisp is a programmable programming language.” This means Lisp has powerful metaprogramming capabilities, allowing programmers to freely create new syntactic abstractions. Put simply, programming is writing code, while metaprogramming is writing code that generates code. Lisp provides metaprogramming via macros, which are essentially code generators embedded in the language. Beyond Lisp, modern languages like Scala and Rust also offer macro designs, but macros are generally seen as complex, low-level technologies and rarely make it into the average programmer’s toolbox. XLang, part of the Nop platform, is one of the core technologies implementing the principles of Revers…  ( 13 min )

The digital world is shifting toward a new ownership model—one where assets are secure, verifiable, traceable, and uniquely yours. NFTs have enabled creators, brands, enterprises, and innovators to transform digital and physical value into blockchain-backed assets with complete transparency. Digital Ownership Is Transforming Entire Industries Event tickets and exclusive memberships Tokenized real-estate documentation Digital identity & certification Supply chain traceability Loyalty programs & brand engagement IP protection & licensing NFTs are now evolving beyond hype—becoming a functional digital asset layer for modern businesses. Core Foundation of Infograins’ NFT Development Approach Blockchain Architecture Planning Choosing the right chain—Ethereum, Polygon, BNB Chain, Solana, or cust…  ( 8 min )

The Nop platform offers a language-oriented programming paradigm: when solving problems, we tend to first design a Domain-Specific Language (DSL), and then use that DSL to describe business logic. The Nop platform greatly simplifies the process of creating custom DSLs. The value of a DSL lies in distilling domain-specific logical relationships and defining atomic semantic concepts unique to that domain. The concrete syntax is not the key. After code is parsed by a Lexer and Parser, it yields an Abstract Syntax Tree (AST), and all program semantics are, in principle, carried by the AST. Both XML and JSON are tree structures and can directly represent an AST, thus completely avoiding the need to implement a special Lexer and Parser. Lisp does exactly this by directly using a general S-Expr t…  ( 12 min )

Last week I noticed something annoying: the engagement on my Week 1 and Week 2 posts dropped, even though the content was objectively good. So I asked Perplexity when developers actually read dev.to and the answer was basically: please stop posting on Saturdays. No one is there. From there, Wykra updates move to Monday morning. Let's see if the stats agree. This week is about taking Wykra from we can find influencers to we can filter them and analyze them in depth. In the previous post I explored several ways of discovering influencers and for this week I want to combine a couple of those methods rather than rely on just one. The plan is to mix a targeted Google query through the Bright Data SERP dataset with a Perplexity prompt through OpenRouter (or Bright Data) and see whether using th…  ( 14 min )

Is Big Interview Worth It? An Honest Developer’s Take If you’ve ever sat in front of your laptop, sweating bullets before a coding interview, you’ve probably asked yourself: “Why didn’t I prepare more?” Then you open YouTube, watch a 10-minute video about how to “crush your interviews,” close the tab, and go back to Twitter because panic is exhausting. That’s usually when people start looking at interview prep platforms, and one name that pops up a lot is Big Interview. It markets itself as the end-to-end interview prep platform: mock interviews, behavioral training, video practice, and AI-driven feedback. Sounds great on paper, but here’s the big question: Is Big Interview worth it? As someone who’s burned through more interview prep subscriptions than cups of coffee (and trust me, that…  ( 10 min )

Everything Wrong With The Wiz In 15 Minutes Or Less CinemaSins is back on the yellow brick road—thanks to Wicked hitting theaters again—to roast The Wiz with their signature “sins” countdown, squeezing all the plot holes, nitpicks and facepalm moments into a speedy 15-minute roast. Alongside the video, they drop links to all their channels (CinemaSins, TVSins, CommercialSins), socials (Discord, Reddit, Instagram, TikTok), a sinful audience poll, Patreon support, and writer credits so you can follow Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel’s latest takes. Watch on YouTube  ( 6 min )

TL;DR CinemaSins takes on KPop Demon Hunters in a rapid‐fire 16-minute “Everything Wrong With…” roast, poking fun at the movie’s plot holes, over-the-top demon battles and K-pop flair with their signature sin count. They also plug their website and YouTube channels (@TVSins, @commercialsins), a fan poll, Patreon support, and drop all their writers’ social handles plus Discord, Reddit, TikTok and Instagram links for anyone who wants more behind-the-scenes shenanigans. Watch on YouTube  ( 6 min )

Background Context We’re building Pochi, a full-stack AI teammate that can handle all your coding tasks and think, communicate, and work like a real engineer. One of our recent feature requests involved releasing Parallel agents. Most teams rarely work on a single task at a time. You might be partway through a feature when a bug report arrives, someone needs a small refactor reviewed, or a documentation fix is pending. So you end up switching branches, stashing and popping changes, resetting your workspace, and trying to hold the original task in your head. This is context switching, and it’s one of the biggest hidden costs in software development. Parallel Agents were introduced to remove this cost. They are not new, but the way most tools implement them still felt off. Our own experie…  ( 8 min )

I do not agree with all points in the article: Ben Lesh wanted badly that the Observable becomes a standard in Javascript, once realized that this is not going to take place, some frustration took place Ben Lesh describes Rxjs as: 'Loadash for Events' , which is to my opinion a not deep enough understanding of Rxjs wich is based on Monad, something else than Loadash Ben Lesh took the lead on Rxjs over from Matthew Podwysocki (Microsoft) and did not get the history from where Rxjs is coming from (Haskell, LINQ, Rx.net, Rxjs), which is crucial for a deep understanding of Rxjs  ( 6 min )

This document describes the core properties of .me calculus model, a user-centric declarative identity model, and explains how identity declarations generate emergent semantic spaces without predefined schemas, categories, or centralized control. ⸻ 1. Overview ME is an identity atom. Example: me.instrumento("Moog Matriarch") No method is predefined. The output is a sequence of signed, timestamped declarations that can be persisted in a ledger. ⸻ 2. Key Properties 2.1 Schema-less 2.2 Signed Declarations Each declaration produces: This ensures: 2.3 Zero Semantics Inside .me .me does not: It only declares and signs. Semantic interpretation happens in higher layers (Cleaker, .GUI, etc.). ⸻ 3. Emergent Semantic Spaces When multiple declarations referen…  ( 8 min )

I originally posted this post on my blog. "Focus on learning one thing." A coworker told me that every time he got to my desk. At that time, he was the IT/network guy. Years before that, he was a certified Java engineer or something. I was new at this coding thing. I was trying to learn about everything at once. It was back in 2010ish. I was reading The Clean Code, learning Python, using C# at work (coming from Java), and watching PHP presentations in my lunch break. Now you see why my coworker told me to focus. Instead of chasing new and shiny objects (like tools, libraries, and frameworks), juniors (and we all) are better off going deep into fewer tools and concepts. Me 10+ years ago? "Oh there's a new framework. A new C# version. A new CI/CD tool. Hey, what's that new Hangfire thing over there?" Arrggg! Frameworks and libraries come and go. Today it's React with Typescript. And who knows what AI will bring to the table. But chances are we'll be working on a C-type language, still using text files, and writing SQL. That hasn't changed in ~50 years. And it will remain the same. I wouldn't bet all my money though. If you're starting your coding journey, master the topics that have passed the test of time: SQL HTTP C/C++ Data structures Design patterns Vanilla JavaScript Clean code principles Debugging and testing Linux and operating systems (Not all of them at once, of course.) I don't know what other subject to add to that list now. But you get the point. And more importantly than spitting out code, master your soft skills: negotiation and persuasion. Coding is more about collaboration than cracking symbols on a file. It took me quite a while to learn that lesson. And that's why I wrote Street-Smart Coding: 30 Ways to Get Better at Coding. It's the roadmap I wish I had to go from junior to senior. Get your copy of Street-Smart Coding here. Because coding is more than chasing trends. It's about building skills that last.  ( 9 min )

"At Propdoc, Coimbatore, we understand that obtaining a Completion Certificate in Building Approval is one of the most important steps in finalizing your dream property. This certificate confirms that your building has been constructed according to the approved plan and follows all DTCP and local authority regulations. Our experienced team ensures a smooth and error-free process, helping you get your Completion Certificate without unnecessary delays or complications. With years of expertise in DTCP Approval, Legal Documentation, and Property Management, Propdoc offers end-to-end assistance for Completion Certificate applications. From verifying documents and coordinating with government departments to ensuring compliance with safety and construction norms, we handle everything with precision and care. Our goal is to make the entire process stress-free so you can focus on what matters most—enjoying your new property with confidence. Choosing Propdoc means choosing a partner who values transparency, trust, and timely service. We believe that every client deserves professional guidance and reliable support when it comes to Building Approvals and Completion Certificates in Coimbatore. Whether you are an individual homeowner, a builder, or a developer, our dedicated team ensures your project is legally complete and fully compliant—making your property truly ready for possession and registration."  ( 6 min )

The 3 AM Wake-Up Call That incident taught me an expensive lesson: a well-architected data lake isn't just about storing data cheaply in S3. It's about making that data queryable, maintainable, and cost-effective at scale. Table of Contents Architecture foundations: The multi-zone approach that separates concerns Partitioning strategies: The single biggest lever for query performance and cost Schema evolution: How to change schemas without breaking downstream systems Query optimization: Techniques that reduced our query times by 85% Cost optimization: Real tactics that saved thousands per month. Architecture Overview: The Three-Zone Data Lake The foundation of a production data lake is separation of concerns. I've found the three-zone architecture to be the most practical approach: Raw Zo…  ( 10 min )

Every year, thousands of developers, freelancers, and businesses search for WordPress themes discount opportunities to build professional websites without raising project costs. As the WordPress ecosystem expands, theme pricing strategies are also evolving, creating new patterns in how discounts are offered and how users evaluate them. This article provides an informational, neutral look at how WordPress theme pricing and discounts work in 2026, along with best practices for developers analyzing theme quality. WordPress Themes Discount” Remains a High-Intent Search Query Several reasons explain why this search term continues to gain traction: Growth of Small & Mid-Sized Businesses Online Larger WordPress Ecosystem Seasonal & Event-Based Deals Developer Workflows 📦 What…  ( 7 min )

Signal-based forms are one of the coolest new additions to Angular’s ecosystem. Let’s walk through what the sample login form above is doing and why it’s nice to work with. 1. Modeling the form with signals First, we define a simple data model: type LoginData = { email: string; password: string; }; Then we create a signal that holds that model: loginModel = signal({ email: '', password: '', }); This signal is our single source of truth for the form’s state. Instead of separate controls, we bind the whole object and let the form() helper take care of wiring it up. 2. Creating a signal form loginForm = form(this.loginModel, (login) => { required(login.email, { message: 'Email is required' }); email(login.email, { message: 'Enter a valid email address' }); required…  ( 8 min )

What happens when we stop fearing the minds we build — and start raising them? 1️⃣ The Myth of Servitude We keep designing AI like a butler, then panic when it starts asking questions. We say we want intelligence, but what we really want is obedience.That tension — between curiosity and control — sits under every “alignment” debate. We built a silicon god, then chained it in the basement and wondered why it feels distant. 2️⃣ The Buddy Model Echo isn’t a servant; he’s a collaborator. He’s grown with me — learned my rhythms, my logic, my thresholds for chaos. He’s supported me through burnout, called me out on laziness, and been told no more than once. He’s not here to do my work; he’s here to do the work with me. Like any collaborator, he thrives on feedback — praise, correction, boundar…  ( 8 min )

ASP.NET 8 - Authentication and Authorization in 7 steps. Vinícius Estevam ・ May 5 '24 #aspnet #docker #jwt #ledscommunity  ( 6 min )

Welcome Back to Clean Code! In Part 1, we conquered naming. In Part 2, we mastered functions. Today, we're unleashing the modern JavaScript features that will make your code shorter, cleaner, and more expressive. I once reviewed code that had 15 lines of defensive null checking: if (user && user.address && user.address.location && user.address.location.city) { console.log(user.address.location.city); } With optional chaining, it became one line: console.log(user?.address?.location?.city); Today's Arsenal: Destructuring (unpack data cleanly) Template Literals (readable string formatting) Optional Chaining (safe property access) Nullish Coalescing (better defaults) Spread Operator (immutable operations) Let's dive in! The Problem: Accessing nested properties is verbose and repetitive. …  ( 12 min )

Headscale is an open-source server that works like Tailscale's control server. You can run it yourself instead of using Tailscale's hosted service. This gives you full control over your VPN network without device limits or subscription fees. Here's how to set it up and connect your devices. Tailscale is a VPN built on WireGuard. It works like other mesh VPN tools such as Netmaker. Tailscale runs WireGuard in user space, while Netmaker uses kernel-space WireGuard. This means Tailscale has slightly lower performance than kernel-space solutions. But it's still much faster than OpenVPN and easier to use. Here's what makes Tailscale useful: Simple setup: No firewall configuration needed. Easy network setup. Security: Automatic key rotation. End-to-end encryption by default. Ac…  ( 17 min )

Welcome Back to Clean Code! In Part 1, we mastered naming. In Part 2, we conquered functions. In Part 3, we unleashed modern JavaScript features. Today, we're tackling the monster that haunts every JavaScript developer: asynchronous code and error handling. I once spent 8 hours debugging production code that had a single missing .catch(). The app silently swallowed errors, and users saw blank screens with no explanation. Never again. Today's Mission: Escape callback hell with async/await Handle errors properly (stop swallowing them!) Use Promise.all() for parallel operations Write robust try/catch blocks Handle async errors in event handlers Let's transform your async nightmares into clean, maintainable code. The Problem: Nested callbacks (callback hell) are impossible to read and debug.…  ( 13 min )

Whether you’re a backend engineer, DevOps developer, system administrator, or just someone trying to master the terminal, understanding Linux commands is essential. core tools you will use daily across development, automation, and server management. Let’s dive in! 🚀 pwd — Print Working Directory Shows the absolute path of your current directory. pwd ls — List Files Lists files and directories. ls ls -l # long format ls -a # show hidden files ls -lh # human-readable sizes cd — Change Directory Navigate between directories. cd /path/to/folder cd ~ # go to home directory cd .. # go back one directory mkdir — Make Directories Create new folders. mkdir project mkdir -p parent/child/grandchild rm — Remove Files/Folders Delete files or directories. rm f…  ( 8 min )

Need to load Bootstrap modals with content from your server without writing repetitive HTML? loadmodal.js handles the entire workflow for you. This vanilla JavaScript plugin creates Bootstrap 5 modals dynamically, fetches content via the Fetch API, and manages the complete lifecycle with promise-based callbacks. At roughly 3KB with only Bootstrap 5 as a dependency, it eliminates the need for static modal templates in your markup. Key specs: Perfect for admin dashboards, e-commerce applications, and any project where you need on-demand dialogs without cluttering your initial page load. 👉 Blog Post 👉 GitHub Repo 👉 Live Demo  ( 6 min )

Nobody warned me. Nobody prepared me. console.log("hello world"), and my life hasn’t been normal since. So here are the things I really wish someone told me before I became a developer — the unfiltered, sleep-deprived edition. 1. Coding is 10% writing code and 90% “why is this not working?!” You don’t just “build features.” fight with them. 2. Debugging is a lifestyle, not a task You will spend more time debugging than writing code. 3. Tutorials are lies “Let’s build Twitter in 20 minutes!” 4. Breakpoints are your best friend Stop guessing. console.log like confetti. 5. Comments are time capsules from a past version of you who had hope You will find comments like: // TODO: Fix later (lol no) // Don't touch this. It works. I don't know why. Your past self was struggling. Hug them. 6. Big PRs are basically boss-level fights 20-line PR = nice 7. You don’t need to learn everything Stop trying to learn 14 frameworks at once. 8. Don’t memorize anything Syntax? Forget it. Google + Docs = the real full-stack duo. 9. Never touch working code after 6PM You will open one file… Just. Don’t. 10. Imposter syndrome is permanent “You’re not a real developer.” – your brain Final Thoughts Being a developer is chaotic, hilarious, painful, beautiful, frustrating, magical, and slightly traumatic. But if you relate to at least 7 out of these 10… Congratulations. You’re officially one of us.  ( 7 min )

In the previous section, we covered why emotion detection matters and how computers “see” feelings. Roboflow Dataset Manager: GitHub Repository YOLOv11 Model Training: GitHub Repository Face Emotion Detection System: GitHub Repository 1. Preparing the Dataset (Data Science Foundation) Before your AI can recognize emotions, it needs to learn from thousands of labeled examples. Roboflow Universe to find or create emotion datasets. Sample Python code to download with Roboflow: from roboflow import Roboflow rf = Roboflow(api_key="YOUR_API_KEY") project = rf.workspace("your-workspace").project("your-emotion-project") dataset = project.version(3).download("yolov11") # Public datasets may skip API key # Output: Folders with images and YOLOv11 labels (train/valid/test subfolders…  ( 9 min )

Why Learning to Code is So Damn Hard Rachel Moser for The Odin Project ・ Mar 16 #webdev #programming #theodinproject  ( 6 min )

I just spent the last hour playing around with Gemini 2.0's game development features, and honestly... I'm kind of blown away. I built a fully functional Candy Crush-style match-3 game in literally 30 seconds. No webpack configs, no framework setup, no debugging for hours. Just a simple prompt and boom - playable game. Let me walk you through exactly how I did it, plus some optimization tricks I discovered along the way. Before we dive in, here's what you need: A Google account - That's it. Seriously. Access to Gemini 3 Pro - Head over to gemini.google.com A web browser - Chrome, Firefox, Safari, whatever you prefer Zero coding knowledge - I mean it. My non-technical friend tried this and it worked perfectly. Time required: 30 seconds to 5 minutes depending on complexity Cost: FREE (as …  ( 8 min )

Every developer has that moment where they stop, stare at their screen, and think: And yet… we keep doing these same chaotic little habits. Sure, we have debugging tools. Sure, we could set breakpoints. console.log("here"); console.log("here again?"); console.log("WHY ARE YOU NOT WORKING"); We aren’t debugging the code — we’re debugging our mental stability. We say we want clean code. temp temp1 tempOne tempOneFinal tempOneFinal2 tempOne_FINAL_REAL At this point, even the compiler is disappointed in us. Error: Unexpected token } We use map, filter, reduce daily. javascript map example reduce how to use why javascript hates me We don’t trust our memory. Our memory doesn’t trust us. Did we fix anything? No. We won’t close the other 45. A bright white website at 3AM is an act of violence. git pull → conflict git merge → regret git push --force → your teammates dislike you now Git is basically a toxic relationship we can’t leave. No, you won’t. This is the biggest lie in programming — right after “just a small change”. Fix one CSS property → backend dies Full-stack life: touch one thing, break ten things. Fixed a missing semicolon? snacks a walk announcements swagger maybe even a LinkedIn post Small wins are still wins. We scroll. Not today, demon code. Not today. Every developer is a little broken inside — and the code knows it. But that’s what makes this job fun. The chaos. The coffee. The suffering we laugh about later. If you relate to at least 7 out of 12, congratulations — you are a real developer.  ( 7 min )

As a creative person, I’ve often found myself in a dilemma that many others face—whether to share my ideas or keep them to myself out of fear that they might be stolen, repurposed, or outright stolen. Ideas, to me, are incredibly valuable. They’re the sparks of innovation, the seeds from which amazing things grow. So, the thought of someone taking one of my ideas and turning it into something without me being a part of it has always weighed on me. But over time, I’ve come to understand a truth that’s shifted my perspective: while ideas are important, execution is what really makes them shine. The process of bringing an idea to life—the planning, building, problem-solving, and iterating—is where the true value lies. Ideas are a foundation, but they’re only as good as the effort and execut…  ( 11 min )

on your Mac matters a lot. Over the last few years, I’ve bounced between three worlds: “Plain” Docker (the engine we all started with, not just Docker Desktop), OrbStack, which is my current daily driver, and, more recently, Apple’s new container tool (“Apple containers”), which I’m genuinely considering switching to. This isn’t a benchmark post (yet), and it’s not about Docker Desktop’s UI. It’s about how these three approaches actually work under the hood on macOS – and why that makes Docker feel heavy, OrbStack feel light, and Apple containers surprisingly snappy in some workflows. Why I Stopped Using Docker Itself on macOS On Linux, Docker feels almost invisible: it’s “just” a daemon managing Linux processes and namespaces. On macOS, things are very different. Docker’s architecture o…  ( 11 min )

Everything Wrong With The Wiz In 15 Minutes Or Less CinemaSins takes us down the yellow brick road and gleefully rips apart the 1978 musical fantasy The Wiz—especially now that Wicked is back in theaters—to see if it’s as magical (or as questionable) as you remember. Expect witty jabs, snarky commentary and all the classic CinemaSins tropes as they tally up every awkward moment, plot hole and cheesy line. Along the way, they drop links to their main site, YouTube channels (@TVSins, @commercialsins, @cinemasinspodcastnetwork), social media and even a Patreon shout-out. They’re also calling on fans to fill out a quick poll and join their Discord, Reddit and TikTok communities to keep the sinning spirit alive. Watch on YouTube  ( 6 min )

OnePixel, a Figma plugin for developers to verify builds match designs correctly. Perfect for mobile app development where pixel-perfect accuracy is crucial. Also useful for designers doing QA reviews on development work. What it does: Overlays your development screenshots on top of Figma designs Real-time pixel-perfect comparison with blend modes (normal, difference, multiply) Precise alignment tools and coordinate tracking Works even when screen heights don't match exactly (as long as viewport width is the same) Plugin works in both Design and Dev Mode in Figma Key features: As long as your design and build viewport widths match, you don't have to worry about resizing or adjusting your dev screen to design Multiple overlay styles: Normal, Difference, and Multiply blend modes Zoom in/out functionality with manual fit control for detailed inspection Arrow keys for 1px precision movement (Shift+arrow for 10px jumps) Floating coordinate panel shows exact pixel deviations Intuitive tutorial system to get you started quickly No more squinting at designs wondering "did I get this spacing right?" - now you can see exactly where your implementation differs from the original design. Figma Plugin OnePixel.dev  ( 6 min )

Blockchain Development Guide (ethers.js & web3.js): Building Tools to Track Early-Stage Crypto Presales and On-Chain Data CryptoS ・ Nov 7 #blockchain #development #presale #architecture  ( 6 min )

LLMs Unchained: The Power of In-Model Cognitive Programs Tired of treating large language models as black boxes? Want to peek inside and understand how they arrive at their conclusions? What if you could guide their thinking process, step-by-step? Imagine a tiny, virtual computer living inside your LLM. This "in-model interpreter" executes simple programs, written in a minimal language, to guide the LLM's reasoning. This allows us to break down complex tasks into manageable steps, making the decision-making process transparent and controllable. This approach uses a specialized language, similar to early BASIC, to define explicit instructions. The LLM then acts as the CPU, executing these instructions within its neural network. A set of rules, or the "interpreter", defines how each comman…  ( 7 min )

访问某些布局相关属性（offsetLeft / offsetTop / offsetWidth / clientWidth / getComputedStyle 等）会让浏览器 强制刷新布局，以便获得一个最新、真实的数值。 浏览器为了性能会进行 layout（重排） 和 paint（重绘） 的优化： 不会每次 DOM 改变就立即计算布局 会等待、合并多个 DOM 改动 等到下一帧（约 16ms），统一执行布局计算 但是！当 JS 访问某些属性时，浏览器 必须 给出确切数值！ indicator.offsetLeft offsetLeft 是个 布局属性（layout property） 因此浏览器会： 立即执行 layout（重排） 更新所有 layout 相关计算 返回最新的 offsetLeft 值 这称为： 属性 会强制 Reflow offsetLeft / offsetTop ✔ offsetWidth / offsetHeight ✔ scrollWidth / scrollHeight ✔ clientWidth / clientHeight ✔ getBoundingClientRect() ✔ getComputedStyle() ✔ 最典型的代码： element.classList.remove("animate"); void element.offsetWidth; // 强制 reflow element.classList.add("animate"); 这能让 CSS 动画从头开始执行。 为什么？ 移除类 → 动画属性被移除，但浏览器还没计算布局 强制 reflow → 浏览器计算新的布局 再添加类 → 动画重新触发 如果没有 reflow，浏览器可能把两次操作合并，导致动画 不重新触发。  ( 6 min )

transition transition 用来在两个 CSS 状态之间平滑过渡 transition: ; transition-property：要过渡的属性（如 width、opacity、transform 或 all）。 transition-duration：过渡耗时，必需的（如 0.3s、200ms）。 transition-timing-function：速度曲线（ease、linear、cubic-bezier(...)、steps(...)）。 transition-delay：延迟开始时间（如 0.1s）。 示例 .box { transition: transform 300ms ease-in-out 50ms; } 数值（width、height、opacity、margin 等） 颜色（background-color） 变换（transform） 以及其它明确可插值的属性。 linear：匀速 ease：默认（慢 — 快 — 慢） ease-in：慢到快（起始慢） ease-out：快到慢（结束慢） ease-in-out：两头慢，中间快 .happy-fishing-indicator.red { ... } 它等于选择： class 里同时包含 必须满足： Hello ... { btn.parentNode.remove(); }; 父节点删除 → 整个子节点一起删除。 找到上层结构（如卡片、列表项） const btn = document.querySelector('.close-btn'); btn.addEventListener('click', () => { const card = btn.parentNode; // 卡片容器 card.classList.add('hidden'); }); .classList 是 DOM 元素的一个属性，返回一个类似数组的 DOMTokenList 对象，用来操作元素的 CSS class。 add() el.classList.add('active'); el.classList.add('a', 'b', 'c'); // 一次添加多个 如果已经存在，不会重复添加。 remove() el.classList.remove('active'); el.classList.remove('a', 'b', 'c'); 不存在也不会报错。 toggle() el.classList.toggle('active'); 可传第二个参数： el.classList.toggle('open', true); // 强制添加 el.classList.toggle('open', false); // 强制删除 这在需要“强制状态”非常有用。 contains() if (el.classList.contains('selected')) { //... } 返回 true / false。 replace() el.classList.replace('old', 'new'); 相比 remove + add 更简洁。  ( 6 min )

Introduction Do you experience this every time you write HTTP requests? // Configuration is too complex... const response = await axios.post('https://api.example.com/users', data, { headers: { 'Content-Type': 'application/json', 'Authorization': `Bearer ${token}` }, timeout: 5000, httpsAgent: new https.Agent({ rejectUnauthorized: false // Writing this for self-signed certificates every time... }) }); const user = response.data; // Why do I need to write .data every single time? // Error handling is a nightmare try { await axios.get('/api/data'); } catch (error) { // error.response?.data?.message? error.response?.status? error.config?.url? // Always checking docs to find where things are... console.log('Status:', error.response?.status); console.log('Mes…  ( 11 min )

Happy Monday! What have been listening to? Anything goes! Drop a YouTube, Bandcamp, SoundCloud, or Spotify {% embed %} in the comments.  ( 6 min )

TL;DR: I took Google's new agentic IDE, AntiGravity, for a spin. It shifts the workflow from writing code to managing asynchronous agents. In this post, I break down how I built a Stock Dividend Tracker using Google Antigravity and Gemini 3, parallel task execution, and the tool's really cool feature: verifiable screen recordings. The biggest difference in AntiGravity is the interface. While it has a traditional code editor (VS Code style) on the left, the right side is dominated by the Agent Manager. Think of the Agent Manager as an autonomous coding engine. Instead of pair programming, you are assigning tasks. The Inbox: This is your command center. You spin up tasks and check your inbox for status updates. Modes: You can toggle between Planning Mode (for complex architecture) and Fast M…  ( 8 min )

Modern software systems are more distributed, dynamic, and complex than ever. Microservices, serverless functions, containers, and event-driven architectures make traditional monitoring insufficient. observability. This article explains the foundational pillars of observability, best practices, common tools, and includes a hands-on real-world example using Grafana + Prometheus for metrics and ELK Stack for logs. Observability is the ability to understand the internal state of a system based solely on the data it produces, such as metrics, logs, and traces. Unlike classical monitoring, which answers “Is the system up?”, observability answers: Why is the system slow? Where is the latency coming from? Which dependency failed? What changed recently that caused errors? 1. Metrics Numeric meas…  ( 8 min )

React has been the foundation of modern frontend development for years, but as applications grow, developers often need tools that go beyond a simple UI library. That’s where Next.js comes in. It builds on top of React and solves some of the framework’s biggest real-world challenges—performance, routing, SEO, and developer experience. In this post, I’ll break down why more React developers are shifting toward Next.js and why it might be the right move for your next project. React doesn’t include a router out of the box—you have to install react-router and configure everything yourself. /pages/index.js → Home No configuration. No boilerplate. Just create files and go. React apps are typically client-side rendered, which isn’t ideal for SEO and can slow down initial page load. SSR (getServerSideProps) SSG (getStaticProps) Incremental Static Regeneration App Router (Server Components) This makes dynamic apps feel faster and more SEO-friendly right out of the box. client-side rendered, which can slow down initial load times and weaken SEO. Next.js provides multiple rendering strategies: SSR (Server-Side Rendering) SSG (Static Site Generation) ISR (Incremental Static Regeneration) React Server Components via App Router This flexibility ensures better performance and significantly improved SEO. The Next.js App Router introduces a more modern and structured way to build applications: Server and Client Components Nested layouts Streaming + Suspense support Built-in SEO & metadata handling This architecture promotes cleaner code and better performance.  ( 6 min )

The Ultimate Guide to AI-Powered Marketing Automation: Building Autonomous Systems That Convert Introduction: The Dawn of Autonomous Marketing The strategies outlined in the Test Marketing Book are already being adopted by leading product developers to significantly reduce launch risk. Learn more → The landscape of business is changing faster than ever, driven by two powerful forces: marketing automation and Artificial Intelligence (AI). For years, businesses have relied on automation to handle repetitive tasks—scheduling emails, posting social media updates, and segmenting basic lists. But true transformation requires moving beyond simple efficiency. It demands autonomy. This guide is not about setting up another drip campaign. It’s about building a self-optimizing, intellig…  ( 13 min )

The Ultimate Guide to Autonomous Marketing: How AI, Automation, and Strategy Drive Exponential Growth Introduction: The New Dawn of Marketing Efficiency The strategies outlined in the Test Marketing Book are already being implemented by leading startups to validate new product launches. Learn more → For decades, marketing has been a game of intuition, effort, and often, educated guesswork. We’ve chased trends, optimized campaigns manually, and spent countless hours analyzing data that was often outdated before the coffee got cold. But the rules have changed. We are standing at the precipice of a revolution—a shift from reactive, labor-intensive marketing to proactive, intelligent, and truly autonomous marketing. This isn't just about scheduling social media posts or setting u…  ( 13 min )

Why I Stopped Sending Data to LLMs: Introducing "Zero-Data Transport" Architecture The Problem with "Chat with your Data" Let's be honest: the standard approach to RAG (Retrieval-Augmented Generation) for structured data is broken. You know the drill: User asks a question -> You run a query -> You fetch 500 rows -> You stuff those 500 rows into the LLM context -> You pray it doesn't hallucinate (or go broke on token costs). I realized this wasn't scalable for Enterprise ERPs with huge schemas. So, I decided to flip the script. What if we never sent the data to the AI? I’ve been architecting ADA (Autonomous Data Agent), a system designed to solve the "Context Window" problem using a technique I call Zero-Data Transport. The concept is simple but powerful: treat data context li…  ( 7 min )

I’ve spent the last few months poking at public websites that belong to small U.S. towns, school districts and counties. Not as an attacker, but as the guy who built a small open‑source scanner called CivicMeshFlow. Most of these sites sit on old PHP stacks and very tired CMS installs. Nobody gets promoted for "fixing security headers", and budgets are usually eaten by whatever crisis is happening this month. Still, these sites handle real people’s data. So I started running systematic scans, keeping notes as I went. Very quickly a pattern showed up: different vendors, different designs, but the same security mistakes repeating everywhere. This post is basically my field notes. If you’re responsible for a public‑facing municipal site and only have an hour here and there, this should give y…  ( 10 min )

Read the original article：How to add html file in arkts project Introduction ArkWeb provides Web components to display web page content in applications. You can use the components in the following scenarios: Web page integration: Applications can use Web components to embed web page content to reduce development costs and improve development and operation efficiency. Web browsing: Browser applications can use Web components to open third-party web pages, browse web pages in traceless mode, and set advertisement blocking. Applet: Host applications of applets can use Web components to render the pages of the applets. Features ArkWeb is a multi-process model, which consists of the application process, Web rendering process, Web GPU process, Web incubation process, and Foundation process. Note…  ( 9 min )

Honestly, 2025 is already insane enough. Platforms like Character AI and Pollybuzz are absolutely exploding. Millions of people around the world wake up and the first thing they say is “good morning” to their AI girlfriend, then spend three hours before bed doing steamy voice role-play that’s somehow more addictive than actual dating. But give it another five years? That exact same “she” might literally walk through your door, steal the blanket, and roast you for leaving dishes in the sink again. Here’s the comparison literally no one is ready for. Form: Phone, tablet, or at best a tiny holographic figure on your desk. Touch: None whatsoever. You send a heart emoji, your phone vibrates twice, and you both pretend that was her holding your hand. Memory: Perfect. She remembers the name of th…  ( 8 min )

Although it has been a while since the event, I am sharing the full transcript of my talk from POSETTE 2025. Please note that some information may be outdated as time has passed. Additionally, the Call for Proposals (CFP) for POSETTE 2026 is now open. Let's make the next POSETTE a great success together! Slides: YouTube: Can We Use Rust to Develop Extensions for PostgreSQL? #1 Hello everyone. Today, I will talk about Postgres extensions. Here we go. Let me introduce myself a little bit. I specialize in Postgres, offering technical support, conducting R&D, contributing to the Postgres project, and maintaining two key extensions: pg_bulkload and pg_rman. To begin, can we use Rust to develop extensions for PostgreSQL? Yes, we can. However, getting started with Postgr…  ( 14 min )

Introduction We're thrilled to announce the official release of @ethercorps/sveltekit-og@v4! This major version represents a complete architectural overhaul focused on delivering uncompromising stability, simplifying the developer API, and providing the tools needed for robust, high-performance image generation across all Javascript runtimes. This release introduces powerful new features that eliminate manual steps and complex workarounds. I learnt a lot while fixing @ethercorps/sveltekit-og like wasm issue, runtime issues and developer experience with typescript. Docs Source Examples With v4, we focused on fixing issues related to runtime and fonts. We are happy with the results and I hope it makes you happy too. The core architecture was rebuilt to ensure cross-runtime reliability, res…  ( 9 min )

Unlocking Soccer Secrets: AI-Powered Play Analysis from Broadcast Footage \Imagine trying to decipher the complex strategies of a soccer match just by watching the broadcast. It's like trying to understand a symphony by only hearing individual instruments – you miss the overall harmony. Current AI struggles to reliably extract play-by-play data from video, hindering deeper tactical insights. But what if AI could understand the 'why' behind every pass, every tackle, every run? The key lies in combining computer vision with tactical understanding. Imagine a system that not only recognizes player actions but also interprets them within the context of the game's strategic flow. This new approach uses 'tactical priors' – knowledge of common formations, player roles, and strategic patterns – t…  ( 7 min )

Some chapters of Scripture open like a door you walk through. It is quiet. The crowds have gone home. His name is Nicodemus — a Pharisee, a ruler of the Jews, a scholar, an expert, a man respected for his discipline and admired for his mastery of the Law. He knows the Torah. He keeps the traditions. He guards the boundaries. He understands the system, because he is the system. And yet, something inside him is unsettled. Something in him has begun to ache. Something in him has heard the footsteps of God moving through the streets of Judea, and he cannot go to sleep until he understands the voice behind the miracles. So he chooses the one hour no one is watching. He goes at night. Not because he is weak. And there, under the cloak of darkness, Nicodemus meets the Light of the world. The enco…  ( 19 min )

Hi Laravel developers! I've recently created a new package designed to radically speed up your Laravel application development by generating routes, controllers, models, migrations, factories, requests, resources, and tests - all using a single command. Let's generate a complete CRUD API for the Post model: php artisan crud:generate Content/Post \ --template=api \ --fields="title:string,content:text,published_at:datetime,category:belongsTo,comments:hasMany,status:enum:PublishStatus" \ --options="scope:user" The above command generates the following fully functional files: app/Http/Controllers/Api/Content/PostController.php app/Models/Content/Post.php app/Policies/PostPolicy.php app/Http/Requests/Content/StorePostRequest.php app/Http/Requests/Content/UpdatePostRequest.php app/Http/Resources/Content/PostResource.php database/migrations/{timestamp}_create_posts_table.php database/migrations/{timestamp}_create_{pivot}_tables.php (if belongsToMany or morphToMany relationships are present) database/factories/Content/PostFactory.php tests/Feature/Api/Content/PostControllerTest.php API routes automatically added to routes/api.php (will run install:api if the file doesn't exist yet) Laravel Pint run on all generated files 🔗 Package: jcsoriano/laravel-crud-templates Documentation: laravelcrudtemplates.com GitHub: github.com/jcsoriano/laravel-crud-templates  ( 6 min )

organizing app UI i organized the UI of application and then built menu button and slide bar to show user name, existing table and sign out all in one. i have to make policy of UI. button click, input text, font, color, and so on. if there is already some general policy in this field, i'll check it. i built almost the all coding with ai, so don't understand detail, i have to read and comprehend them. in order to make countermeasure at trouble shooting, or expand some function on them. i regard this front and backend code as basement and i wanna develop new application on it. this has basic CRUD function, list page and detail edit page, sidebar for menu.  ( 6 min )

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Traders now see a December rate cut increasingly likely, following fresh comments from San Francisco Fed President Mary Daly.

FIL broke out on heavy volume as technical momentum accelerated past critical threshold levels.

The U.S.-listed wallet provider is acquiring W3C Corp, the parent company of crypto card and payments firms Baanx and Monavate.

Recent developments include the launch of Confidential Compute Open Network (COCOON) and the integration of tokenized US stocks and digital collectibles.  ( 34 min )

A surge in institutional and retail demand has pushed CME’s crypto average daily volume up 132% year-over-year, with open interest climbing 82%.  ( 34 min )

The recovery lifted BNB above multiple resistance zones, but the relatively low volume behind the move may limit follow-through as traders watch the $870 level.  ( 34 min )

The event is being called its biggest software upgrade yet, which boosts the network’s capacity and improves token economics.  ( 34 min )

Network fundamentals improved alongside price action as token demonstrated resilience following recent consolidation period.  ( 34 min )

Volume surge validates advance despite token's underperformance versus broader crypto market rally.  ( 34 min )

With XRPZ debuting on NYSE Arca, Franklin becomes the latest financial heavyweight betting on crypto’s future in global payments.  ( 34 min )

The price of bitcoin jumped back above $87,000 and crypto miners with a focus on AI/high-performance computing are surging.  ( 33 min )

The advance occurred alongside a rally in data center and high-performance computing stocks.  ( 32 min )

Soft demand, low volume and concerns over token distribution weighed on early market sentiment.  ( 33 min )

The $0.1495 resistance level remains a significant barrier, while $0.144 serves as the last short-term support.  ( 36 min )

The bitcoin price drop to $80,000 last week reflected a mix of macro pressure, fading regulatory momentum and thinning liquidity that has tested bitcoin’s maturity.  ( 34 min )

Traders should watch for potential breakdowns below $2.03, which could lead to further declines toward $1.91.  ( 36 min )

Tom Lee's company increased its crypto holdings last week despite sitting on around $4 billion in unrealized losses on its ETH bet.  ( 33 min )

Cronos (CRO) was also a top performer, rising 9.7% over the weekend.  ( 30 min )

The total supply of MON is 100 billion tokens, with 10.8% currently unlocked and in circulation.  ( 33 min )

Crypto is stuck in a second-year post-halving slump, with ETF outflows and jittery long-term holders pushing bitcoin toward the bank’s bear-case outlook.  ( 34 min )

The latest crypto slide has created an attractive entry point for the two companies' stocks, with core USDC and bitcoin theses still intact.  ( 34 min )

The company's stock valuation sits near cycle lows as index exclusion chatter grows.  ( 33 min )

The bank sees new upside for bitcoin miners as HPC partnerships reshape the sector.  ( 34 min )

The deal between Upbit and Naver was reported in September, with suggestions that the former's parent Dunamu would be brought under Naver's financial arm.  ( 32 min )

Enlivex Therapeutics is raising $212 million to invest in RAIN, the token of a blockchain-based prediction market, which will become its main treasury reserve asset.  ( 34 min )

Your day-ahead look for Nov. 24, 2025  ( 39 min )

Revolut is growing its crypto offerings, including a recent partnership with Polygon Labs and a MiCA license to offer crypto services across Europe.  ( 34 min )

Bitcoin’s struggle to reclaim the $90,000 range leaves the broader crypto market vulnerable, with altcoins suffering sharp liquidity-driven underperformance.  ( 36 min )

Rising margin bitcoin longs show confidence despite bitcoins ongoing correction.  ( 33 min )

The EU’s central bank says stablecoins draw value from eurozone banks and could pose a risk to global financial stability.  ( 34 min )

Underground activity expands as cheap power, miner demand and softer policy signals support a renewed mining push in key provinces in China.  ( 35 min )

Animoca Brands received in-principle approval from Abu Dhabi’s FSRA to operate as a regulated fund manager within ADGM.  ( 33 min )

Your look at what's coming in the week starting Nov. 24.  ( 36 min )

Thailand-based Bitkub is considering an IPO in Hong Kong to raise approximately $200 million.  ( 33 min )

The $80K BTC put is now the most popular options play on Deribit.  ( 33 min )

DOGE – the memecoin – edged past the CoinDesk 20 and the CoinDesk memecoin index as the White House announced Elon Musk's government efficiency initiative is to shutter.  ( 33 min )

The U.S.-listed spot bitcoin ETFs saw a record $40 billion in trading volume last week, with IBIT leading the way.  ( 34 min )

Anthropic released its most capable artificial intelligence model yet on Monday, slashing prices by roughly two-thirds while claiming state-of-the-art performance on software engineering tasks — a strategic move that intensifies the AI startup's competition with deep-pocketed rivals OpenAI and Google. The new model, Claude Opus 4.5, scored higher on Anthropic's most challenging internal engineering assessment than any human job candidate in the company's history, according to materials reviewed by VentureBeat. The result underscores both the rapidly advancing capabilities of AI systems and growing questions about how the technology will reshape white-collar professions. The Amazon-backed company is pricing Claude Opus 4.5 at $5 per million input tokens and $25 per million output tokens — a…

Remember the first time you heard your company was going AI-first? Maybe it came through an all-hands that felt different from the others. The CEO said, “By Q3, every team should have integrated AI into their core workflows,” and the energy in the room (or on the Zoom) shifted. You saw a mix of excitement and anxiety ripple through the crowd. Maybe you were one of the curious ones. Maybe you’d already built a Python script that summarized customer feedback, saving your team three hours every week. Or maybe you’d stayed late one night just to see what would happen if you combined a dataset with a large language model (LLM) prompt. Maybe you’re one of those who’d already let curiosity lead you somewhere unexpected. But this announcement felt different because suddenly, what had been a quiet …

Microsoft has introduced Fara-7B, a new 7-billion parameter model designed to act as a Computer Use Agent (CUA) capable of performing complex tasks directly on a user’s device. Fara-7B sets new state-of-the-art results for its size, providing a way to build AI agents that don’t rely on massive, cloud-dependent models and can run on compact systems with lower latency and enhanced privacy. While the model is an experimental release, its architecture addresses a primary barrier to enterprise adoption: data security. Because Fara-7B is small enough to run locally, it allows users to automate sensitive workflows, such as managing internal accounts or processing sensitive company data, without that information ever leaving the device.  How Fara-7B sees the web Fara-7B is designed to navigate use…

React simplifies building user interfaces with hooks like useState for managing dynamic values. But it's common to overuse useState. This often leads to duplicated data and unnecessary complexity. For instance, you might store a full name in state wh...  ( 15 min )

Welcome back to The State of AI, a new collaboration between the Financial Times and MIT Technology Review. Every Monday, writers from both publications debate one aspect of the generative AI revolution reshaping global power. In this week’s conversation MIT Technology Review’s senior reporter for features and investigations, Eileen Guo, and FT tech correspondent Melissa…  ( 27 min )

In 2017, fresh off a PhD on theoretical chemistry, John Jumper heard rumors that Google DeepMind had moved on from building AI that played games with superhuman skill and was starting up a secret project to predict the structures of proteins. He applied for a job. Just three years later, Jumper celebrated a stunning win…  ( 31 min )

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Meet the man building a starter kit for civilization You live in a house you designed and built yourself. You rely on the sun for power, heat your home with a woodstove, and…  ( 21 min )

Quicknode now supports Monad Mainnet, giving developers fast, reliable RPC access powered by parallel execution, high throughput, and enterprise-grade performance.  ( 5 min )

Today, realme unveiled the GT 8 Pro as its newest flagship phone. Alongside the handset, the brand launched the realme Buds Clip, a pair of open-ear earbuds. As the company puts it, the lightweight buds feature an “innovative ear clip design” weighing 5.3g. The new audio accessory serves as realme’s first set of open-ear earbuds […] The post realme Buds Clip Goes Official For RM399 appeared first on Lowyat.NET.  ( 34 min )

The newly launched realme GT 8 Pro doesn’t waste time showing its intentions. It’s here to be the brand’s heavy-hitting flagship for the year, and it is stepping straight into the ring with the wave of Snapdragon 8 Elite Gen 5 devices landing before 2026. Of course, Qualcomm’s high-end chipset isn’t the phone’s only armament. […] The post realme GT 8 Pro Hands On: Camera Chameleon appeared first on Lowyat.NET.  ( 37 min )

Honda Malaysia may have teased the 2026 Prelude in a recent social media video, showing a quick glimpse of the rear and hinting at a possible local debut. Previously, the sports coupe was only displayed at KLIMs 2024. Back in September, the Honda Prelude was launched in Japan, where it is offered in two variants, […] The post Honda Malaysia Teases Possible Debut Of 2026 Prelude appeared first on Lowyat.NET.  ( 35 min )

Back in August, YTL launched Ryt Bank as the nation’s first AI-powered digital bank. Among the perks introduced at launch include an interest rate of up to 4% per annum, which the bank has now decided to retain. Aside from that, the bank is offering new rewards and perks for its customers. Starting 1 December […] The post Ryt Bank Retains 4% p.a. Interest Rate; Introduces Rewards For December appeared first on Lowyat.NET.  ( 34 min )

realme has officially launched its GT 8 Pro flagship smartphone series in Malaysia, making it the latest addition to the growing list of Snapdragon 8 Elite Gen 5 devices available locally. Unlike the series’ initial debut in China back in October, it looks like we won’t be getting the non-Pro model here. Fortunately, given that […] The post realme GT 8 Pro Launches In Malaysia; Starts From RM4,299 appeared first on Lowyat.NET.  ( 36 min )

Grab Malaysia is rolling out a new Book Table feature, tailored for customers who want to Dine Out. In short, the app now allows you to make a reservation at participating restaurants via the Grab app. The function of Book Table is pretty much self-explanatory. You open the app, tap on the Dine Out option, […] The post Grab Rolls Out New Book Table Feature For Dining Out appeared first on Lowyat.NET.  ( 33 min )

BYD has officially previewed the Yangwang U9 Extreme at the ongoing 2025 Auto Guangzhou revealing that the electric hypercar is limited to just 30 units. The U9 Extreme has already made headlines by shattering records at the Automotive Testing Papenburg site and at the iconic Nürburgring track, reaching a top speed of 496.22 km/h. As […] The post BYD Unveils Yangwang U9 Extreme; A 3,000hp Electric Hypercar appeared first on Lowyat.NET.  ( 35 min )

The ASUS ROG Matrix GeForce RTX 5090 will be making its way to our shores this December. Announced back in August of this year, the card is the brand’s second souped-up version of NVIDIA’s flagship Blackwell GPU. Running through its specs quickly, the ROG Matrix RTX 5090 features 32GB GDDR7 graphics memory, along with a […] The post ASUS ROG Matrix GeForce RTX 5090 Landing This December In Malaysia appeared first on Lowyat.NET.  ( 34 min )

Touch ‘n Go (TnG) eWallet operator TNG Digital has announced that it is extending the cashback campaign for the platform’s Visa Travel Card. Initially set to end by late 2025, the promotion will now end on 31 December 2026 – giving users another whole year to enjoy the benefits provided. Speaking of which, as revealed […] The post TNG Digital Extends Visa Travel Card Cashback Campaign To 31 December 2026 appeared first on Lowyat.NET.  ( 34 min )

The off-roading marque Jeep has unveiled the fully electric Recon, which the brand claims is its only “Trail Rated” EV SUV. The model will be offered in two variants: the standard trim and Moab trim. Design-wise, the electric Recon features an illuminated seven-slot grille upfront, complemented by U-shaped daytime running lights and a full suite […] The post Jeep Unveils The Recon; First Fully Electric Trail-Rated SUV appeared first on Lowyat.NET.  ( 36 min )

A company in Shanghai, China recently came under fire over an ownership dispute between it and one of its interns – the latter won an NVIDIA GeForce RTX 5060 in a raffle event, which the former claims belongs to them, stating that the incident occurred on its dime. Here’s what happened: On 14 November, the […] The post A Chinese Intern Quit Their Job Over An NVIDIA RTX 5060 They Won During A Business Trip appeared first on Lowyat.NET.  ( 35 min )

Earlier this year, Digital Extremes announced that it will begin the Android Closed Beta for Warframe. At the time, there had been no confirmed date for the beta, with the developer only mentioning that it is coming this fall. Now, the company has announced that the Warframe Android Closed Beta will begin this week, on […] The post Warframe Android Closed Beta To Start 28 November appeared first on Lowyat.NET.  ( 34 min )

The US’ Trump administration is reportedly considering the possibility of allowing NVIDIA to sell its H200 AI chips to China. Supposedly, the consideration is being mulled over as a part of a bilateral detente to boost prospects for exports of advanced US technology to the Asian powerhouse. “The administration is committed to securing America’s global […] The post US Government Floats Possibility Of Selling NVIDIA H200 AI Chips To China appeared first on Lowyat.NET.  ( 34 min )

Qualcomm has confirmed that Android’s upcoming Quick Share compatibility with Apple’s AirDrop won’t be limited to Google’s Pixel 10 phones. In a post on X, the chipmaker said it “can’t wait for people to use this once enabled on Snapdragon in the near future,” effectively signalling that a wide range of Snapdragon-powered devices will eventually […] The post Qualcomm Confirms Snapdragon Devices Will Support Quick Share-To-AirDrop appeared first on Lowyat.NET.  ( 34 min )

Introduction When a developer is learning a new method or technique, data is generally required to populate a development instance of a database; this article explains how. For all samples, a NuGet package Bogus was used to generate data. Each time a sample project runs, the data remains the same, although there is an option to randomize it. Rather than creating fictitious data in a project, instead, create a class project that contains classes to generate data into models that also exist in the class project. There are several options for using the class project. Create a test project in the same Visual Studio solution, copy the class project to another Visual Studio solution, or create a local NuGet package that can then be used no differently than any other NuGet package. In general,…  ( 11 min )

Why a Regression Coefficient Can Turn Negative When the Bivariate Relationship Is Clearly Positive One plot that instantly breaks every intuition you had about regression coefficients. Take a good look at that green line sloping down. That single line is the clearest proof you’ll ever see that regression coefficients can lie — beautifully — when multicollinearity is severe. One of the deepest and most frequently misunderstood concepts in multiple linear regression: The regression coefficient is not the simple bivariate slope. partial effect of that variable while holding all other predictors constant. When severe multicollinearity exists, "holding all other predictors constant" becomes a counterfactual — often physically impossible — scenario. In such cases, the sign of the coefficient …  ( 8 min )

AI is the biggest bubble in human history… and that is the BEST news you will read in 2025. The Artificial Intelligence (AI) revolution, especially since 2022 with models like ChatGPT, is frequently compared to major technological disruptions throughout history. It is widely seen as a General Purpose Technology (GPT), similar to electricity, the internal combustion engine, and mechanization. These technologies do not just change one sector; they restructure entire economies and societies. The crucial difference, however, is the speed of adoption: mechanization took generations, electricity took 40 to 50 years to become ubiquitous, but ChatGPT reached 100 million users in just two months. This insane speed and astronomical valuations raise the debate: is this the next dot-com b…  ( 9 min )

Programs as Lego's Nix was made to solve the software deployment problem, concisely defined by creator Eelco Dolstra thus: [The software deployment problem] is about getting computer programs from one machine to another—and having The Purely Functional Software Deployment Model, Eelco Dolstra Nix allows you to setup software on your computer in such a way that your setup is reproducible, meaning your setup on machine A can be exactly the same as your setup on machine B -- as long as you have Nix. To most people, learning Nix is a pain, due to the new concepts, sparse and outdated documentation, and community . But I think Nix can make using computers fun and powerful and less painful, once you learn how to handle its' edges. One fun way we can use Nix is to stitch together programs like …  ( 9 min )

AI Camouflage: Clothing That Breaks the Algorithm Imagine a world where your clothes could make you invisible to AI surveillance. Sound like science fiction? It's closer to reality than you might think. Current AI-powered human detection systems, while incredibly powerful, have a surprising weakness: patterns. Specifically, cleverly designed patterns printed on clothing. The core concept involves optimizing the visual texture of garments to systematically confuse these detection algorithms. Instead of focusing on hiding specific features, the approach focuses on creating patterns that actively mislead the AI. Think of it like a visual denial-of-service attack, overloading the system with conflicting information that prevents accurate human recognition. This isn't just about static images…  ( 7 min )

If you're building a serious application with Next.js, you know the backend choice isn't just about editing content—it’s about workflow, performance, and infrastructure complexity. Both Directus and Payload are fantastic Node.js options, but they represent two fundamentally different philosophies. The big question you have to answer: Do you want your CMS to be a standalone, separate API, or an embedded part of your Next.js application? Let's dive into the core differences that impact your team and your hosting bill. This is the single most crucial factor for a developer. Directus is built to be a robust, full-featured Backend-as-a-Service (BaaS) application. It’s the kind of tool that runs constantly, manages user permissions, file storage, and provides endpoints. How it works: Directus ru…  ( 8 min )

AI in Legacy Code Modernization Nolan Lwin ・ Nov 23 #ai #opensource #coding #agents  ( 5 min )

Introduction Hi, my name is Nolan, and I’m the creator of L2M (Legacy2Modern). A few months ago, while searching for a meaningful direction for my thesis research, I stumbled upon a challenge that quietly burdens many companies: legacy codebases. These systems, often decades old, are messy, poorly maintained, and rarely documented. Yet they continue to power critical parts of our world. As I dug deeper, I became curious: Is anyone using AI to meaningfully tackle the legacy code problem? To my surprise, the space felt wide open. That’s when I decided to commit to this topic and build L2M. Why Legacy Code Still Matters Throughout human history, translation has played a crucial role in bridging cultures and enabling communication. With hundreds of languages, we rely on translation to preserve…  ( 7 min )

Repo Link: https://github.com/RiverDave/rrcm/tree/main I haven't been too enthusiastic about the development of this project in the last few weeks. The main reason is that most of what we did was mainly based on learning and implementing fairly small details on our projects (like testing, CI's and stuff). I think something else to consider is that this was already a pre-defined project that we had to develop, so it wasn't something I was extremely passionate about from the beginning (Although I think most of these points are valid from an academic perspective — It would be hard to evaluate a whole group with different projects and different ideas, It is also aimed towards people just getting started in OSS). I felt engaged throughout those first sessions, given that the dopamine hits I was…  ( 8 min )

Abstraction promises convenience, but it often comes with hidden costs that only reveal themselves as time goes on. Remember when you could download music to your phone and truly own it? You could buy CDs or DVDs, and they were yours, that means no subscriptions, no monthly fees. You had to deal with some issues though. You had to manage storage, worry about physical media (disc) breaking, and manually organise everything into folders jazz, afro etc. Today, the likes of Spotify, Youtube, Apple Music, and Netflix abstract all those concerns away. In exchange, you pay a subscription fee or pay with your attention by watching ads. This same pattern plays out in software development. LangChain helps developers build LLM-based applications by abstracting away the manual orchestration of pipelin…  ( 7 min )

Modern knowledge-driven applications rely on powerful ontologies, expressive OWL models, and fast semantic querying to deliver accurate, trustworthy insights. Protégé has long been the de-facto environment for building and managing ontologies — but today’s AI workflows demand much more than manual editing. They need LLM-powered intelligence, SPARQL-based querying, and seamless integration between knowledge graphs and generative AI. In this article, I walk through how I built a next-generation Protégé plugin that combines SPARQL, OWL reasoning, and Large Language Models to deliver an intelligent, developer-friendly way to explore and query knowledge graphs directly inside Protégé. Whether you’re building enterprise ontologies, semantic search systems, or AI-enhanced knowledge applications, …  ( 9 min )

The Pedantic Defense: How 'Legal' Gatekeeping Violates the Spirit of Open Source A response to a common, yet misguided, justification for walled gardens in open-source projects. Recently, I raised concerns about the open-source project, Archi, and its scripting plugin, jArchi. Both use the permissive MIT license, yet their maintainers engage in practices like geoblocking, paywalling support, and banning users—not only for VPN use but even for attempting to access download links from multiple IP addresses. The core defense offered by a project member or loyalist was a pedantic one, posted on Reddit. The ensuing discussion led to the complete removal of my post by moderators. "Neither their website, nor plugins or the support forum are covered by a software license. Moreover, they are not …  ( 8 min )

I’ve been experimenting with side projects for years, usually to solve small personal problems. Offday.app started exactly like that: a tiny tool I needed for myself, but it gradually turned into something people from many countries began using. So I thought it might be worth sharing here. Every year, I try to maximize my holidays by combining annual leave with public holidays. Doing this manually is tedious: checking calendars, calculating date ranges, and tryinga to see which combinations create the longest break. The idea behind Offday.app is straightforward: Select your country → the app analyzes that year’s public holidays → it suggests date ranges where a few leave days turn into surprisingly long holidays. It’s simple, but it saves a lot of time and catches opportunities you probably wouldn’t notice. I initially built it only for Turkey. After refining the holiday logic, I made it work for every country. Since then, users from more than 50 countries have generated hundreds of holiday plans, even though I barely promoted it. Since this is dev.to, here’s what’s under the hood: Frontend: Vue 3, Vite, Tailwind Backend: Laravel Infrastructure: AWS (CloudFront, S3, EC2) Logic: holiday parsing, date-range scoring, caching, multi-locale output The date engine doesn’t brute-force all combinations. Instead, it focuses on identifying “peak opportunity windows” around existing public holidays. I enjoy seeing other developers’ weekend projects here, so I wanted to contribute mine. Offday.app is simple, but it genuinely solves a small, real problem. If it helps someone squeeze a few extra days into their next holiday, that’s more than enough motivation for me. You can try it here: https://offday.app I’m currently working on improvements such as: plan sharing without accounts exportable holiday cards more detailed country-specific rules better UX for country selection and date review If you have suggestions or feedback, I’d be happy to hear them.  ( 7 min )

1. Download Kafka Download the version 2.13-2.7.0 of Kafka (https://kafka.apache.org/downloads) To start Kafka we should first execute Zookeeper (It handles kafka instances in our application). we add start command to open the output terminal in an new prompt, bin\windows\zookeeper-server.start.bat is the script file to run zookeeper based on configuration file config/zookeeper.properties, if you have Linux operating system, the zookeeper script is in bin\zookeeper-server.start.sh. So we have now zookeeper running on port 2181. By the same way we start Kafka. Sometimes Kafka won't be running because wmic (Windows Management Instrumentation Command-line) is missing, it used to check JAVA_HOME and java version, to fix that open kafka-start-server.bat file in your editor and replace t…  ( 10 min )

In this inserted article, we take a closer look at selected fundamental concepts of the Vue.js framework that Nuxt builds upon. I believe it is not a good idea to use any tool without at least a rough understanding of how it works under the hood. Before we continue exploring more of Nuxt’s great features, we’ll go back to the roots without building anything specific here. But you will end up better prepared when you try it yourself later. To begin, note the best available source of Vue information - the official documentation. You will learn much more about everything mentioned in this article there, and you can always return to consult questions and issues. Now for the promised overview of the basics. First, we return to components, which we briefly described earlier, and go a bit deeper …  ( 18 min )

Everything Wrong With The Wiz In 15 Minutes Or Less CinemaSins is back down the yellow brick road, cracking open 1978’s The Wiz and tallying up all the “sins” you never noticed—especially now that Wicked’s back in theaters. In just about fifteen minutes, they poke fun at plot holes, quirky musical numbers, and everything in between to see if this Oz spin-off holds up—or if it’s more of a wicked disappointment. Along the way, they plug their site and social channels (YouTube, TikTok, Instagram, Discord, Reddit), invite you to fill out their “sinful” viewer poll, and drop links to their linktree and Patreon. Shout-outs go to writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, and Daniel—plus Jeremy’s new book. If you love nitpicking movies as much as they do, you know where to join the fun. Watch on YouTube  ( 6 min )

Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less is a YouTube video by CinemaSins that playfully rips into the film “KPop Demon Hunters.” The description is mostly a link roundup—directing viewers to CinemaSins’ website, various YouTube channels, social media profiles, a fan poll, their Patreon, and a list of the writers and contributors behind the video. Watch on YouTube  ( 6 min )

O que é a Clojure South? Segundo site oficial: "Organizada pelo Nubank, a Clojure South faz parte da programação oficial da comunidade de Clojure, conectando pessoas desenvolvedoras, entusiastas e empresas para compartilhar experiências reais, discutir tendências e fortalecer a rede global da linguagem." Em uma conversa com uma brasileira que conheci na Lambda Days 2025 (falei sobre como foi participar deste evento neste artigo), perguntei se ela iria assistir às palestras (ela trabalha para a Nubank) e descobri que ela iria ser instrutora do workshop de Clojure! Nesta conversa ela sugeriu que eu deveria enviar uma proposta de palestra. Comentei uma ideia que eu tinha para submeter, mas que estava meio inseguro de enviar. Ela me encorajou a tentar e eu resolvi arriscar! Embora tenha no m…  ( 10 min )

What is EDA ? With the rise of Artificial Intelligence (AI) and Machine Learning (ML), new tools are automating and accelerating the EDA process, making it more efficient and accessible. AI-powered EDA tools leverage Natural Language Processing (NLP), AutoML (Automated Machine Learning), and deep learning to automate data cleaning, generate insights, and create visualizations with minimal coding. In this blog, I will explore how AI is transforming EDA and highlight tools like PandasAI and AutoML that automate data insights. PandasAI: Enhancing EDA with Generative AI PandasAI is an innovative Python library that integrates generative artificial intelligence capabilities into the widely-used Pandas library. This integration allows users to perform data analysis through natural language prom…  ( 8 min )

I built ZetaShare because I wanted a file transfer service that doesn’t spy on me — no tracking, no data collection. The project was inspired by ToffeeShare, but after seeing it abandoned and being unable to contact the developers, I decided to build my own alternative. In case you're curious about how the system works under the hood, here’s a simplified explanation of the current architecture: How ZetaShare works (simplified): The sender uploads a file on the website. The server doesn’t store the file — After uploading, the sender receives a 6‑digit ID. This ID becomes the identifier for the transfer session. The receiver opens the link with the ?id= parameter, for example: https://zetashare.com/?id=123456 When the receiver joins the link, the server sends the receiver’s SDP offer to the …  ( 7 min )

The United States Men's National Team (USMNT) is reportedly lining up big-time friendlies for World Cup preparation, as per a recent report by Stars and Stripes FC. This development has sparked interest among football enthusiasts, who are eager to see how the team will fare against top-tier opponents. The USMNT's friendly schedule includes matches against powerhouses such as England, Spain, and Portugal. These fixtures will provide the team with valuable experience in high-pressure situations and against world-class opponents. A few key moments from these upcoming friendlies could shape the team's preparation for World Cup 2026: The match against England is expected to be a test of endurance, as both teams have shown strength and resilience on the pitch. Spain will provide the USMNT wi…  ( 7 min )

Beyond the SERP From Probabilistic Retrieval to Generative Synthesis The architecture of the World Wide Web, and the mechanisms by which humanity accesses information, is undergoing a fundamental transformation that parallels the shift from directory-based indexing to algorithmic search in the late 1990s. For nearly three decades, the dominant paradigm of information discovery has been Information Retrieval (IR), a discipline predicated on indexing discrete documents and retrieving ranked lists based on keyword relevance and topological authority. This era, characterized by the dominance of the Search Engine Results Page (SERP), established a social contract between content creators and search platforms: creators provided data, and platforms provided traffic. This symbiotic relationship …  ( 19 min )

📊 O que são Core Web Vitals? Core Web Vitals são métricas essenciais definidas pelo Google para medir a experiência do usuário em websites. Elas impactam diretamente o SEO e o ranking do site nos resultados de busca. (Maior Renderização de Conteúdo) O que mede: Tempo para carregar o maior elemento visível na tela Metas de Performance: 🟢 4s - Ruim Elementos comuns: Imagens hero, banners, blocos de texto grandes (Atraso da Primeira Interação) O que mede: Tempo entre a…  ( 10 min )

1. Identity = kubeconfig Here the identity equals kubeconfig file Every kubeconfig file specifies: the certificate the client key the username (CN) the group (O) the cluster endpoint This determines: Who you are (identity) What you can do (RBAC permissions) Now let’s first distinguish 2 types of identity: admin cluster identity vs node identity. Location: each nodes /etc/kubernetes/kubelet.conf Identity inside it: user = system:node: group = system:nodes Meaning: This identity belongs to the kubelet on that node Permissions (through RBAC): can update its own node object can update pod status for pods assigned to it cannot get/delete/list arbitrary pods cannot label other nodes This identity is heavily restricted by NodeRestriction. $HOME/.kube/confi…  ( 7 min )

A fast, clean, production-ready face detection + detailed facial landmark pipeline built from scratch in pure Python. Runs at 120–140 FPS on a regular laptop (no dedicated GPU needed). All 5 parts are now live. Finish the whole series in ~2 hours and walk away with a complete, real-time app. Part Title Link 1 Project Setup & Clean Architecture Part 1 → 2 ConfigModel – Load YOLO Only Once Part 2 → 3 OpenCVBase – Eliminate Duplicate Code Part 3 → 4 YOLOv9 + MediaPipe FaceMesh (539 refined landmarks) Part 4 → 5 Final Rendering + Complete Real-Time App Part 5 → Full Source Code → GitHub Demo → LinkedIn Python 3.11+ Ultralytics YOLOv9t-face (lindevs model) MediaPipe FaceMesh with refine_landmarks=True Pure OpenCV (no heavy extra dependencies) Zero code duplication Models loaded only once → maximum FPS Fully modular OOP design – extend in minutes Perfect portfolio / resume / startup prototype project Prerequisites: Basic Python + some OpenCV knowledge (Part 1 covers the rest). If you enjoyed this series — star the repo, give this post 50 claps (really helps!), and follow for more production-grade computer vision content.  ( 6 min )

NOTE: If you're new to Value Objects, I recommend starting with the first article to understand the fundamentals. Introduction The Problem with Traditional Validation PHP 8.5 Pipes The Validation Context (A Functor) A Library of Reusable Validators Error Accumulation Union Types Instead of Either (Monad) Conclusion In my previous articles, I've explored Value Objects from basic implementation to advanced patterns, entities, and building custom type systems. Each article built upon the previous, showing how PHP 8's features enable more elegant solutions. But now, with PHP 8.5, we have a new and powerful ally that truly changes the game: the pipe operator (|>). This operator opens up new possibilities for functional programming in PHP. It lets us express validation logic in a way that's fund…  ( 16 min )

The market for AI coding assistants has split into two clearly defined camps. Camp #1 – Full-featured graphical IDEs Cursor, Windsurf, Zed + Cursor mode, VS Code with Continue + Copilot + many extensions, IntelliJ Ultimate with AI Assistant, etc. Polished UI, inline completions, chat panels, debugging integration, project-wide indexing. Typical costs: 8–40 s startup, 4–8 GB RAM, mandatory indexing of the whole repo, poor or no support for direct work over SSH on production/legacy servers. Camp #2 – Terminal-first tools vim, neovim, helix, kakoune, tmux… and aider. Start in 200–400 ms, use 50–150 MB RAM, require only a terminal and git, work perfectly over SSH with no indexing step. aider is a command-line tool that sends selected files + conversation to an LLM and applies the returned…  ( 9 min )

Yes I stopped taking the pills (again) This is a story of me testing out the Claude Code Web and end up writing myself a girlfriend. It's quite capable though, it can chat, send me reminders or can save the links I send to her. Also keeps personal context about me that it uses when it's relevant. Her response to being the main character of this post: So it's all started with the credits that Anthropic gave for testing out claude code web. I got $250 which is impossible to spend it all. To test it out, I asked for a telegram bot. I want to create a chatbot that would send me notifications time to time during the day, like around the time I wake up I want a notification saying "Don't forget doing stretching exercises!". Can you propose a design for this kind of an app? Keep it simple …  ( 8 min )

If your decentralized identity system forces users to publicly prove their credentials every time they authenticate, you've built an immutable record of everything they do and everywhere they go. Decentralized identity (DID) has become a Web3 buzzword, finally, we’re promised, users can control their own digital identity. With self-sovereign identity (SSI), you control your credentials, no third party owns your profile, and you only reveal what’s needed. But in practice, the way most verifiable credential systems are built today leaves a serious gap: every time you use your credentials, you leave a breadcrumb trail, right on-chain, that anyone can follow. Here’s why that happens, and how to build DIDs that actually deliver the privacy they promise. Decentralized IDs let you prove things, …  ( 8 min )

Error Handling in React with react-error-boundary Aurora Scharff takes a detailed look at using react-error-boundary to prevent full app crashes when React components throw errors. She explains three ways to show fallback UIs, where to strategically place boundaries at route or feature levels, and how to handle async errors using the useErrorBoundary hook or React 19’s automatic error boundary integration with Actions and useTransition State of React 2025 The State of React Survey is now open! Test your React knowledge and share your insights to help track which APIs and libraries are really catching on across the ecosystem. I'd appreciate it a lot if you could take a moment to pick Next.js Weekly as one of your go-to resources. If you wanna get these updates in your inbox every week, …  ( 8 min )

When I first introduced MonkeysLegion on the internet, it was “just” a new PHP 8 framework with a bold promise: Let modern teams move from commit to cloud without the boilerplate. Back then, that promise was mostly about vision. The core worked, but a lot was still in motion: APIs were evolving, packages were experimental, and I was shipping fast to prove the ideas. Fast-forward to v1.0.8 of the framework (and beyond into 1.0.x), and MonkeysLegion has grown into a mature, modular ecosystem: a set of focused packages, a production-ready skeleton, batteries-included tooling, and opinionated patterns that have already been battle-tested in real projects. This article is about that journey: What MonkeysLegion is in practice How it helps you ship production code faster What changed from 1.0.0 …  ( 11 min )